{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Master Log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 4 May 2024, 16:21:14
{txt}
{com}. 
. do "$analyze\Set globals"
{txt}
{com}. ** CHANGE DIRECTORY TO YOUR WORKING DIRECTORY
. global dir "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\"
{txt}
{com}. 
. global analyze "$dir\Analyze"
{txt}
{com}. global data "$dir\Data"
{txt}
{com}. global results "$dir\Results"
{txt}
{com}. 
. cd "$data"
{res}C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data
{txt}
{com}. 
. set matsize 10000
{txt}
{com}. 
. capture drop program drop leveleffects 
{txt}
{com}. program leveleffects
{txt}  1{com}.         keep if treated == 1
{txt}  2{com}.         keep if treat == 0
{txt}  3{com}.         egen pre = mean(water), by(home)
{txt}  4{com}.         gen effecthelp = (exp(_b[treat])-1)*(water+1)
{txt}  5{com}.         egen effect = mean(effecthelp), by(home)
{txt}  6{com}.         duplicates drop home, force
{txt}  7{com}.         sum pre
{txt}  8{com}.         global prem = r(mean)
{txt}  9{com}.         sum effect
{txt} 10{com}.         global effectm = r(mean)
{txt} 11{com}.         global transbeta = $effectm/$prem*100
{txt} 12{com}. end
{txt}
{com}. 
. 
{txt}end of do-file

{com}. * do "$analyze\Create. Start.do"        /* This file anonymized the raw data */
. do "$analyze\Create. Main.do"
{txt}
{com}. global infile "DataStart.dta"
{txt}
{com}. global outfile1 "DataDaily.dta"
{txt}
{com}. global outfile2 "DataMain.dta"
{txt}
{com}. 
. use $infile, clear
{txt}
{com}. 
. 
. * Keep cohorts
. keep if cohort == 2 | cohort == 5
{txt}(4,590,564 observations deleted)

{com}. replace cohort = 1 if cohort == 2
{txt}(1,763,916 real changes made)

{com}. replace cohort = 2 if cohort == 5
{txt}(569,712 real changes made)

{com}. 
. * Calculate mean weekly consumption without missings
. replace wpd = . if wpd < 0
{txt}(215 real changes made, 215 to missing)

{com}. replace wpd = . if wpd > 10000 & wpd != .
{txt}(24 real changes made, 24 to missing)

{com}. drop if wpd == .                        /* for the purpose of selecting nonmissing weeks */
{txt}(327,292 observations deleted)

{com}. egen watersel = mean(wpd), by(home week)                                    
{txt}
{com}. 
. * Create weekly data
. egen Meandate = mean(date), by(week)
{txt}
{com}. bysort home week: gen meandate = floor(Meandate)
{txt}
{com}. egen mindate = min(date), by(week)
{txt}
{com}. egen maxdate = max(date), by(week)
{txt}
{com}. 
. * Create weekly data 2012-2016
. keep if mindate >= mdy(1,1,2012)
{txt}(188,238 observations deleted)

{com}. keep if maxdate <= mdy(12,31,2016)
{txt}(702,177 observations deleted)

{com}. keep if date == meandate
{txt}(956,741 observations deleted)

{com}. duplicates drop home week, force

{p 0 4}{txt}Duplicates in terms of {res} home week{p_end}

{txt}(0 observations are duplicates)

{com}. 
. * Create water dummies
. gen zwater = 0 if watersel > 0 & watersel != . 
{txt}(6,749 missing values generated)

{com}. replace zwater = 1 if watersel == 0
{txt}(6,749 real changes made)

{com}. 
. * Group 1 balanced
. egen nobs = count(watersel), by(home)
{txt}
{com}. tab nobs

       {txt}nobs {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        142 {c |}{res}        284        0.18        0.18
{txt}        143 {c |}{res}        143        0.09        0.27
{txt}        192 {c |}{res}        192        0.12        0.39
{txt}        195 {c |}{res}        390        0.25        0.63
{txt}        200 {c |}{res}     11,800        7.41        8.05
{txt}        201 {c |}{res}      7,035        4.42       12.47
{txt}        218 {c |}{res}        218        0.14       12.60
{txt}        225 {c |}{res}        225        0.14       12.74
{txt}        227 {c |}{res}      4,313        2.71       15.45
{txt}        230 {c |}{res}        230        0.14       15.60
{txt}        241 {c |}{res}        241        0.15       15.75
{txt}        245 {c |}{res}        245        0.15       15.90
{txt}        250 {c |}{res}        250        0.16       16.06
{txt}        255 {c |}{res}        765        0.48       16.54
{txt}        259 {c |}{res}      2,849        1.79       18.33
{txt}        260 {c |}{res}    130,000       81.67      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}    159,180      100.00
{txt}
{com}. drop if cohort == 1 & nobs != 260
{txt}(8,573 observations deleted)

{com}. 
. * Group 2 balanced, Define Group 3 + long pre-zeros dropped
. replace cohort = 3 if cohort == 2 & nobs != 260
{txt}(20,607 real changes made)

{com}. sum watersel if week2 <= -10 & cohort == 3

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}watersel {c |}{res}        199    66.73101    111.8602          0       1280
{txt}
{com}. drop if week2 <= -10 & cohort == 3
{txt}(199 observations deleted)

{com}. 
. * Groups 2 and 3 none-zero at starting data 
. gen Zwater9 = zwater if week2 == -9
{txt}(149,811 missing values generated)

{com}. egen zwater9 = mean(Zwater9) if cohort == 3 | cohort == 2, by(home)
{txt}(117229 missing values generated)

{com}. drop if zwater9 == 1 & (cohort == 3 | cohort == 2)
{txt}(3,099 observations deleted)

{com}. 
. * Group 3 balanced
. drop nobs
{txt}
{com}. egen nobs = count(watersel), by(home)
{txt}
{com}. tab nobs if cohort == 3

       {txt}nobs {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        142 {c |}{res}        284        1.53        1.53
{txt}        143 {c |}{res}        143        0.77        2.29
{txt}        192 {c |}{res}        192        1.03        3.33
{txt}        195 {c |}{res}        390        2.10        5.42
{txt}        200 {c |}{res}     17,600       94.58      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     18,609      100.00
{txt}
{com}. drop if cohort == 3 & nobs != 200
{txt}(1,009 observations deleted)

{com}. 
. * DD windows
. gen weeksDD = 0
{txt}
{com}. sum month year if week == 29

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}month {c |}{res}        495           6           0          6          6
{txt}{space 8}year {c |}{res}        495        2013           0       2013       2013
{txt}
{com}. sum month year if week == 30

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}month {c |}{res}        495           7           0          7          7
{txt}{space 8}year {c |}{res}        495        2013           0       2013       2013
{txt}
{com}. sum week2 if week == 30

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}week2 {c |}{res}        495         -13           0        -13        -13
{txt}
{com}. replace weeksDD = 1 if week >= -26 & week <= 33
{txt}(29,700 real changes made)

{com}. replace weeksDD = 2 if week2 >= -9
{txt}(116,600 real changes made)

{com}. 
. * Selection, delete negatives, and zero in place of missing, top censor 4 obs 
. drop date dow wpd wpdbath wpdkitchen
{txt}
{com}. merge 1:m home week using "DataStart", keep(mat mas) keepusing(date dow wpd wpdbath wpdkitchen)
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}       1,025,585{txt}  (_merge==3)
{col 5}{hline 41}

{com}. sum wpd if wpd >= 10000, d                                      /* 4 extreme values above 1000l, max 45053l */ 

                             {txt}wpd
{hline 61}
      Percentiles      Smallest
 1%    {res}    38150          38150
{txt} 5%    {res}    38150          45053
{txt}10%    {res}    38150         154420       {txt}Obs         {res}          3
{txt}25%    {res}    38150              .       {txt}Sum of Wgt. {res}          3

{txt}50%    {res}    45053                      {txt}Mean          {res} 79207.67
                        {txt}Largest       Std. Dev.     {res} 65227.17
{txt}75%    {res}   154420              .
{txt}90%    {res}   154420          38150       {txt}Variance      {res} 4.25e+09
{txt}95%    {res}   154420          45053       {txt}Skewness      {res} .6982076
{txt}99%    {res}   154420         154420       {txt}Kurtosis      {res}      1.5
{txt}
{com}. sum wpd if wpd < 0                                                      /* 50 negative values */

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}wpd {c |}{res}         46   -1470.891    9169.322     -62302         -8
{txt}
{com}. sum home if wpd == .                                            /* 103 missing */

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}home {c |}{res}         30       399.7    146.7612        100        535
{txt}
{com}. foreach var in wpd wpdbath wpdkitchen {c -(}
{txt}  2{com}.         replace `var' = 0 if `var' < 0
{txt}  3{com}.         replace `var' = 10000 if `var' > 10000 & `var' != .
{txt}  4{com}. {c )-}
{txt}(46 real changes made)
(3 real changes made)
(28 real changes made)
(1 real change made)
(15 real changes made)
(1 real change made)

{com}. replace wpd = 0 if wpd == .
{txt}(30 real changes made)

{com}. 
. * Water kitchen as residual since more missing on kitchen (similar to actual)
. replace wpdbath = 0 if wpd == 0
{txt}(32,266 real changes made)

{com}. replace wpdkitchen = 0 if wpd == 0
{txt}(55,821 real changes made)

{com}. replace wpdkitchen = wpd-wpdbath
{txt}(261,133 real changes made, 82,334 to missing)

{com}. replace wpdkitchen = . if wpdbath == .
{txt}(0 real changes made)

{com}. 
. * Create outcomes
. egen water = mean(wpd), by(home week)                               
{txt}
{com}. gen logwater = log(water+1)
{txt}
{com}. gen logwater0 = log(water)
{txt}(41,605 missing values generated)

{com}. gen dwater = (water != 0)
{txt}
{com}. egen wbath = mean(wpdbath), by(home week)                                   
{txt}(155145 missing values generated)

{com}. gen logwbath = log(wbath+1)
{txt}(155,145 missing values generated)

{com}. egen wkitchen = mean(wpdkitchen), by(home week)                                     
{txt}(155145 missing values generated)

{com}. gen logwkitchen = log(wkitchen+1)
{txt}(155,145 missing values generated)

{com}. egen nobsbath = count(wbath), by(home)
{txt}
{com}. foreach var in wbath logwbath wkitchen logwkitchen {c -(}
{txt}  2{com}.         replace `var' = . if nobsbath != 1823
{txt}  3{com}. {c )-}
{txt}(97,488 real changes made, 97,488 to missing)
(97,488 real changes made, 97,488 to missing)
(97,488 real changes made, 97,488 to missing)
(97,488 real changes made, 97,488 to missing)

{com}. 
. * Datasets
. gen dataset = 1 if weeksDD == 1
{txt}(816,200 missing values generated)

{com}. replace dataset = 2 if cohort == 2 & weeksDD == 2
{txt}(67,200 real changes made)

{com}. replace dataset = 2 if cohort == 1 & weeksDD == 2
{txt}(625,800 real changes made)

{com}. replace dataset = 3 if cohort == 3 & weeksDD == 2
{txt}(123,200 real changes made)

{com}. expand 2 if cohort == 1 & weeksDD == 2, gen(dupindicator)
{txt}(625,800 observations created)

{com}. replace dataset = 3 if dupindicator == 1
{txt}(625,800 real changes made)

{com}. egen datasethome = group(dataset home)
{txt}
{com}. egen datasetweek = group(dataset week)
{txt}
{com}. 
. * Treated within datasets
. gen treated = 0
{txt}
{com}. replace treated = 1 if cohort == 1 & dataset == 1
{txt}(189,081 real changes made)

{com}. replace treated = 1 if cohort == 2 & dataset == 2
{txt}(67,200 real changes made)

{com}. replace treated = 1 if cohort == 3 & dataset == 3
{txt}(123,200 real changes made)

{com}. 
. * Treatment
. gen treat = 0 if week < 0 & cohort == 1
{txt}(1,570,031 missing values generated)

{com}. replace treat = 1 if week >= 0 & cohort == 1
{txt}(1,359,327 real changes made)

{com}. replace treat = 0 if week2 < 0 & (cohort == 2 | cohort == 3)
{txt}(28,872 real changes made)

{com}. replace treat = 1 if week2 >= 0 & (cohort == 2 | cohort == 3)
{txt}(181,832 real changes made)

{com}. 
. * Create daily data
. keep home cohort treated weeksDD week week2 treat wpd ///
> water logwater logwater0 dwater wbath logwbath wkitchen logwkitchen ///
> m2 floor rooms rent addresslet address block date year moy woy dow month month2 ///
> dataset datasethome datasetweek dupindicator
{txt}
{com}. order home cohort treated weeksDD week week2 treat wpd ///
> water logwater logwater0 dwater wbath logwbath wkitchen logwkitchen ///
> m2 floor rooms rent addresslet address block date year moy woy dow month month2 ///
> dataset datasethome datasetweek dupindicator
{txt}
{com}. sort cohort home week
{txt}
{com}. save "$outfile1", replace
{txt}file DataDaily.dta saved

{com}. 
. * Create weekly data
. drop wpd
{txt}
{com}. duplicates drop dataset home week, force

{p 0 4}{txt}Duplicates in terms of {res} dataset home week{p_end}

{txt}(1,415,685 observations deleted)

{com}. save "$outfile2", replace
{txt}file DataMain.dta saved

{com}. 
. 
{txt}end of do-file

{com}. 
. do "$analyze\Figure 1. Time series.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results\Figure 1"
{txt}
{com}. 
. 
. * Create means
. 
. use "$infile", clear
{txt}
{com}. drop if dupindicator == 1
{txt}(89,400 observations deleted)

{com}. egen watercohort = mean(water), by(cohort week)
{txt}
{com}. egen logwatercohort = mean(logwater), by(cohort week)
{txt}
{com}. duplicates drop cohort week, force

{p 0 4}{txt}Duplicates in terms of {res} cohort week{p_end}

{txt}(145,580 observations deleted)

{com}. sort cohort week
{txt}
{com}. 
. sum watercohort if treat == 0 & cohort == 1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}watercohort {c |}{res}         26    101.2784    5.583975   87.90987   107.4167
{txt}
{com}. gen wc1 = r(mean)
{txt}
{com}. sum watercohort if treat == 1 & cohort == 1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}watercohort {c |}{res}        234    71.68911    6.393145   53.26814   85.95589
{txt}
{com}. gen wt1 = r(mean)
{txt}
{com}. sum watercohort if treat == 0 & cohort == 2

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}watercohort {c |}{res}         69    99.97458    8.322078   73.14286   114.0234
{txt}
{com}. gen wc2 = r(mean)
{txt}
{com}. sum watercohort if treat == 1 & cohort == 2

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}watercohort {c |}{res}        191    85.92422    10.42564   49.49405   103.9821
{txt}
{com}. gen wt2 = r(mean)
{txt}
{com}. sum watercohort if treat == 0 & cohort == 3

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}watercohort {c |}{res}          9    87.21411    2.094536   84.37175   91.13961
{txt}
{com}. gen wc3 = r(mean)
{txt}
{com}. sum watercohort if treat == 1 & cohort == 3

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}watercohort {c |}{res}        191    71.99612    5.779266   54.33442   86.55357
{txt}
{com}. gen wt3 = r(mean)
{txt}
{com}. 
. 
. * Add lines
. 
. set obs `=_N + 2'
{txt}{p}
number of observations (_N)  was 720,
now 722
{p_end}

{com}. sum date if week == -26

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}date {c |}{res}          2       18996    2.828427      18994      18998
{txt}
{com}. sum date if week2 == -9

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}date {c |}{res}          3       19417    1.732051      19416      19419
{txt}
{com}. sum date if week2 == 190

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}date {c |}{res}          3    20810.33    2.309401      20809      20813
{txt}
{com}. replace date = 19421.9 if _n == _N - 1
{txt}(1 real change made)

{com}. replace date = 20815.1 if _n == _N
{txt}(1 real change made)

{com}. gen period1 = 55 if date >= 18993 & date <= 19422
{txt}(598 missing values generated)

{com}. gen period2 = 55 if date >= 19422 & date <= 20815
{txt}(125 missing values generated)

{com}. local period1midpoint = (18993+19422)/2
{txt}
{com}. local period2midpoint = (19422+20815)/2
{txt}
{com}. sort date
{txt}
{com}. 
. 
. * Figure 1. Time-series
. 
. tw (line watercohort date if cohort == 1) ///
> (line wc1 date if cohort == 1 & treat == 0, lc(dkorange) lw(thick)) ///
> (line wt1 date if cohort == 1 & treat == 1, lc(dkorange) lw(thick)) ///
> (area period1 date, color(gs10%70) base(40)), ///
> xli(19175, lc(navy)) tlabel(, format(%dm-Y)) xti("") yti(Weekly use (mean l/day)) ///
> graphregion(color(white)) ti(A. Group 1 hot water use) leg(off) ///
> text(110 19350 "July 1, 2012") ///
> yscale(r(40 120)) ylab(40(20)120) text(48 `period1midpoint' "Period 1") 
{res}{txt}
{com}. graph save "$results\TempA", replace
{txt}(note: file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempA.gph not found)
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempA.gph saved)

{com}. 
. tw (line watercohort date if cohort == 2, lc(maroon) lp(dash)) ///
> (line wc2 date if cohort == 2 & treat == 0, lc(dkorange) lw(thick)) ///
> (line wt2 date if cohort == 2 & treat == 1, lc(dkorange) lw(thick)) ///
> (area period2 date, color(gs10%70) base(40)), ///
> xli(19479, lc(maroon) lp(dash)) ///
> tlabel(, format(%dm-Y)) xti("") yti(Weekly use (mean l/day)) ///
> graphregion(color(white)) ti(B. Group 2 hot water use) leg(off) ///
> text(110 19660 "May 1, 2013") ///
> yscale(r(40 120)) ylab(40(20)120) text(48 `period2midpoint' "Period 2") 
{res}{txt}
{com}. graph save "$results\TempB", replace
{txt}(note: file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempB.gph not found)
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempB.gph saved)

{com}. 
. tw (line watercohort date if cohort == 3, lc(forest_green) lp(shortdash)) ///
> (line wc3 date if cohort == 3 & treat == 0, lc(dkorange) lw(thick)) ///
> (line wt3 date if cohort == 3 & treat == 1, lc(dkorange) lw(thick)) ///
> (area period2 date, color(gs10%70) base(40)), ///
> xli(19479, lc(maroon) lp(dash)) ///
> tlabel(, format(%dm-Y)) xti("") yti(Weekly use (mean l/day)) ///
> graphregion(color(white)) ti(C. Group 3 hot water use) leg(off) ///
> text(90 19660 "May 1, 2013") ///
> yscale(r(40 120)) ylab(40(20)120) text(48 `period2midpoint' "Period 2") 
{res}{txt}
{com}. graph save "$results\TempC", replace
{txt}(note: file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempC.gph not found)
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempC.gph saved)

{com}. 
. graph combine "$results\TempA" "$results\TempB" "$results\TempC", ///
> rows(3) xcommon ycommon graphregion(color(white)) ysize(8) iscale(0.7) 
{res}{txt}
{com}. graph save "$outfile", replace
{txt}(note: file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\Figure 1.gph not found)
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\Figure 1.gph saved)

{com}. 
. 
{txt}end of do-file

{com}. do "$analyze\Figure 2. Window plots.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results\Figure 2"
{txt}
{com}. 
.         
. * Create means
. 
. use "$infile", clear
{txt}
{com}. drop if dupindicator == 1
{txt}(89,400 observations deleted)

{com}. 
. sum week if week2 == 34  

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}week {c |}{res}        583          77           0         77         77
{txt}
{com}. replace week = 80 if week >= 77
{txt}(90,948 real changes made)

{com}. replace week2 = 37 if week2 >= 34
{txt}(90,948 real changes made)

{com}. egen watercohort = mean(water), by(cohort week)
{txt}
{com}. egen logwatercohort = mean(logwater), by(cohort week)
{txt}
{com}. duplicates drop cohort week, force

{p 0 4}{txt}Duplicates in terms of {res} cohort week{p_end}

{txt}(146,048 observations deleted)

{com}. sort cohort week
{txt}
{com}. 
. 
. * Figure 2. Windowed plots
. 
. twoway (line logwatercohort week if cohort == 1 & weeksDD == 1) ///
> (line logwatercohort week if cohort == 2 & weeksDD == 1, lp(dash)), ///
> xli(-0.5, lc(navy)) graphregion(color(white)) ///
> ti("A. Log use for Group 1 vs. Controls") yti("Log (use+1)") xti("Event week in Period 1") ///
> xsc(r(-30 40)) xlab(-30(10)30) ///
> leg(lab(1 "Treated group") lab(2 "Control group") region(lc(white))) 
{res}{txt}
{com}. graph save "$results\TempA", replace
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempA.gph saved)

{com}. 
. twoway (line logwatercohort week2 if cohort == 2 & weeksDD == 2) ///
> (line logwatercohort week2 if cohort == 1 & weeksDD == 2, lp(dash)) ///
> (scatter logwatercohort week2 if cohort == 2 & week2 >= 34, mc(navy)) ///
> (scatter logwatercohort week2 if cohort == 1 & week2 >= 34, mc(maroon)), ///
> xli(-0.5, lc(navy)) graphregion(color(white)) leg(off) ///
> ti("B. Log use for Group 2 vs. Controls") yti("Log (use+1)") xti("Event week in Period 2") ///
> xsc(r(-30 40)) xlab(-30(10)30 37 "34-191")
{res}{txt}
{com}. graph save "$results\TempB", replace
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempB.gph saved)

{com}. 
. twoway (line logwatercohort week2 if cohort == 3 & weeksDD == 2) ///
> (line logwatercohort week2 if cohort == 1 & weeksDD == 2, lp(dash)) ///
> (scatter logwatercohort week2 if cohort == 3 & week2 >= 34, mc(navy)) ///
> (scatter logwatercohort week2 if cohort == 1 & week2 >= 34, mc(maroon)), ///
> xli(-0.5, lc(navy)) graphregion(color(white)) leg(off) ///
> ti("C. Log use for Group 3 vs. Controls") yti("Log (use+1)") xti("Event week in Period 2") ///
> xsc(r(-30 40)) xlab(-30(10)30 37 "34-191")
{res}{txt}
{com}. graph save "$results\TempC", replace
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempC.gph saved)

{com}. 
. grc1leg "$results\TempA" "$results\TempB" "$results\TempC", ///
> rows(3) graphregion(color(white)) iscale(0.7) ycommon name(grc, replace) 
{res}{txt}
{com}. gr draw grc, ysize(8.5) 
{res}{txt}
{com}. graph save "$outfile", replace
{txt}(note: file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\Figure 2.gph not found)
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\Figure 2.gph saved)

{com}. 
. 
{txt}end of do-file

{com}. do "$analyze\Figure 3. Event study.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results\Figure 3"
{txt}
{com}. 
. 
. * Create event dummies
. 
. use "$infile", clear
{txt}
{com}. 
. forvalues i = 26(-1)1 {c -(}
{txt}  2{com}.         gen eL`i' = 0
{txt}  3{com}.         replace eL`i' = 1 if weeksDD == 1 & cohort == 1 & week == -`i'
{txt}  4{com}. {c )-}
{txt}(447 real changes made)
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{com}. forvalues i = 0(1)33 {c -(}
{txt}  2{com}.         gen e`i' = 0
{txt}  3{com}.         replace e`i' = 1 if weeksDD == 1 & cohort == 1 & week == `i'
{txt}  4{com}. {c )-}
{txt}(447 real changes made)
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{com}. gen e34 = 0
{txt}
{com}. replace e34 = 1 if weeksDD == 1 & cohort == 1 & week >= 34
{txt}(0 real changes made)

{com}. forvalues i = 26(-1)1 {c -(}
{txt}  2{com}.         replace eL`i' = 1 if weeksDD == 2 & cohort == 2 & week2 == -`i'
{txt}  3{com}. {c )-}
{txt}(0 real changes made)
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(48 real changes made)

{com}. forvalues i = 0(1)33 {c -(}
{txt}  2{com}.         replace e`i' = 1 if weeksDD == 2 & cohort == 2 & week2 == `i'
{txt}  3{com}. {c )-}
{txt}(48 real changes made)
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(48 real changes made)
(48 real changes made)

{com}. replace e34 = 1 if weeksDD == 2 & cohort == 2 & week2 >= 34
{txt}(7,536 real changes made)

{com}. forvalues i = 26(-1)1 {c -(}
{txt}  2{com}.         replace eL`i' = 1 if weeksDD == 2 & cohort == 3 & week2 == -`i'
{txt}  3{com}. {c )-}
{txt}(0 real changes made)
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(88 real changes made)

{com}. forvalues i = 0(1)33 {c -(}
{txt}  2{com}.         replace e`i' = 1 if weeksDD == 2 & cohort == 3 & week2 == `i'
{txt}  3{com}. {c )-}
{txt}(88 real changes made)
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(88 real changes made)
(88 real changes made)

{com}. replace e34 = 1 if weeksDD == 2 & cohort == 3 & week2 >= 34
{txt}(13,816 real changes made)

{com}. 
. 
. * Regression estimates
. 
. reghdfe logwater eL26-eL6 eL4-eL1 e0-e34 if dataset == 1, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: e34 omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    29,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}  59{txt},{res}    494{txt}){col 67}= {res}      2.32
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.5493
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5398
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0033
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       495{txt}{col 51}Root MSE{col 67}= {res}    0.8478

{txt}{ralign 78:(Std. Err. adjusted for {res:495} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}eL26 {c |}{col 14}{res}{space 2}-.1556744{col 26}{space 2} .2073927{col 37}{space 1}   -0.75{col 46}{space 3}0.453{col 54}{space 4} -.563155{col 67}{space 3} .2518061
{txt}{space 8}eL25 {c |}{col 14}{res}{space 2}-.0737374{col 26}{space 2} .2029915{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-.4725705{col 67}{space 3} .3250957
{txt}{space 8}eL24 {c |}{col 14}{res}{space 2}-.0083097{col 26}{space 2} .2223853{col 37}{space 1}   -0.04{col 46}{space 3}0.970{col 54}{space 4}-.4452475{col 67}{space 3}  .428628
{txt}{space 8}eL23 {c |}{col 14}{res}{space 2} .0486301{col 26}{space 2} .2109387{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.3658176{col 67}{space 3} .4630779
{txt}{space 8}eL22 {c |}{col 14}{res}{space 2} .0826362{col 26}{space 2} .2154497{col 37}{space 1}    0.38{col 46}{space 3}0.701{col 54}{space 4}-.3406746{col 67}{space 3} .5059469
{txt}{space 8}eL21 {c |}{col 14}{res}{space 2} .0994704{col 26}{space 2} .1440799{col 37}{space 1}    0.69{col 46}{space 3}0.490{col 54}{space 4}-.1836147{col 67}{space 3} .3825554
{txt}{space 8}eL20 {c |}{col 14}{res}{space 2} .0398164{col 26}{space 2} .1287209{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-.2130915{col 67}{space 3} .2927243
{txt}{space 8}eL19 {c |}{col 14}{res}{space 2} .0313498{col 26}{space 2} .1228333{col 37}{space 1}    0.26{col 46}{space 3}0.799{col 54}{space 4}-.2099903{col 67}{space 3}   .27269
{txt}{space 8}eL18 {c |}{col 14}{res}{space 2} .0143931{col 26}{space 2} .1257587{col 37}{space 1}    0.11{col 46}{space 3}0.909{col 54}{space 4}-.2326947{col 67}{space 3}  .261481
{txt}{space 8}eL17 {c |}{col 14}{res}{space 2} .1028686{col 26}{space 2} .1235766{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.1399319{col 67}{space 3} .3456692
{txt}{space 8}eL16 {c |}{col 14}{res}{space 2} .0622281{col 26}{space 2} .1275988{col 37}{space 1}    0.49{col 46}{space 3}0.626{col 54}{space 4}-.1884752{col 67}{space 3} .3129314
{txt}{space 8}eL15 {c |}{col 14}{res}{space 2}-.0338589{col 26}{space 2} .1312554{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-.2917465{col 67}{space 3} .2240288
{txt}{space 8}eL14 {c |}{col 14}{res}{space 2} .0584104{col 26}{space 2} .1292505{col 37}{space 1}    0.45{col 46}{space 3}0.652{col 54}{space 4}-.1955381{col 67}{space 3}  .312359
{txt}{space 8}eL13 {c |}{col 14}{res}{space 2} .0808788{col 26}{space 2} .1456152{col 37}{space 1}    0.56{col 46}{space 3}0.579{col 54}{space 4}-.2052228{col 67}{space 3} .3669804
{txt}{space 8}eL12 {c |}{col 14}{res}{space 2}-.0186338{col 26}{space 2} .1332265{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.2803942{col 67}{space 3} .2431267
{txt}{space 8}eL11 {c |}{col 14}{res}{space 2} .0072035{col 26}{space 2} .1283628{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-.2450009{col 67}{space 3} .2594079
{txt}{space 8}eL10 {c |}{col 14}{res}{space 2}  .034627{col 26}{space 2}  .095283{col 37}{space 1}    0.36{col 46}{space 3}0.716{col 54}{space 4}-.1525829{col 67}{space 3} .2218369
{txt}{space 9}eL9 {c |}{col 14}{res}{space 2} .1602159{col 26}{space 2} .0586521{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0449776{col 67}{space 3} .2754542
{txt}{space 9}eL8 {c |}{col 14}{res}{space 2} .0990756{col 26}{space 2} .0682241{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0349696{col 67}{space 3} .2331208
{txt}{space 9}eL7 {c |}{col 14}{res}{space 2}  .047599{col 26}{space 2}  .064532{col 37}{space 1}    0.74{col 46}{space 3}0.461{col 54}{space 4}-.0791921{col 67}{space 3} .1743901
{txt}{space 9}eL6 {c |}{col 14}{res}{space 2} .1126343{col 26}{space 2} .0650821{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0152376{col 67}{space 3} .2405062
{txt}{space 9}eL4 {c |}{col 14}{res}{space 2}-.0001405{col 26}{space 2}  .046281{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-.0910724{col 67}{space 3} .0907915
{txt}{space 9}eL3 {c |}{col 14}{res}{space 2}-.0190551{col 26}{space 2} .0503272{col 37}{space 1}   -0.38{col 46}{space 3}0.705{col 54}{space 4}-.1179369{col 67}{space 3} .0798267
{txt}{space 9}eL2 {c |}{col 14}{res}{space 2}   .06766{col 26}{space 2} .0715476{col 37}{space 1}    0.95{col 46}{space 3}0.345{col 54}{space 4}-.0729153{col 67}{space 3} .2082352
{txt}{space 9}eL1 {c |}{col 14}{res}{space 2} .1716889{col 26}{space 2} .1302769{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0842762{col 67}{space 3}  .427654
{txt}{space 10}e0 {c |}{col 14}{res}{space 2}  .024624{col 26}{space 2} .1152852{col 37}{space 1}    0.21{col 46}{space 3}0.831{col 54}{space 4}-.2018858{col 67}{space 3} .2511338
{txt}{space 10}e1 {c |}{col 14}{res}{space 2}  .233385{col 26}{space 2} .1552908{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.0717269{col 67}{space 3} .5384969
{txt}{space 10}e2 {c |}{col 14}{res}{space 2} .0586133{col 26}{space 2}  .176537{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.2882427{col 67}{space 3} .4054693
{txt}{space 10}e3 {c |}{col 14}{res}{space 2} .1094551{col 26}{space 2}  .141419{col 37}{space 1}    0.77{col 46}{space 3}0.439{col 54}{space 4}-.1684018{col 67}{space 3}  .387312
{txt}{space 10}e4 {c |}{col 14}{res}{space 2} .1673021{col 26}{space 2} .1546733{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4}-.1365966{col 67}{space 3} .4712008
{txt}{space 10}e5 {c |}{col 14}{res}{space 2} .1633523{col 26}{space 2} .1557135{col 37}{space 1}    1.05{col 46}{space 3}0.295{col 54}{space 4}-.1425901{col 67}{space 3} .4692947
{txt}{space 10}e6 {c |}{col 14}{res}{space 2} .0884104{col 26}{space 2} .1337647{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4}-.1744075{col 67}{space 3} .3512283
{txt}{space 10}e7 {c |}{col 14}{res}{space 2} .1120053{col 26}{space 2} .1512442{col 37}{space 1}    0.74{col 46}{space 3}0.459{col 54}{space 4}-.1851559{col 67}{space 3} .4091664
{txt}{space 10}e8 {c |}{col 14}{res}{space 2}-.2430943{col 26}{space 2} .0878426{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}-.4156855{col 67}{space 3} -.070503
{txt}{space 10}e9 {c |}{col 14}{res}{space 2}-.1165471{col 26}{space 2} .1130439{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.3386531{col 67}{space 3}  .105559
{txt}{space 9}e10 {c |}{col 14}{res}{space 2}-.1636391{col 26}{space 2}  .142384{col 37}{space 1}   -1.15{col 46}{space 3}0.251{col 54}{space 4} -.443392{col 67}{space 3} .1161137
{txt}{space 9}e11 {c |}{col 14}{res}{space 2}-.0607252{col 26}{space 2} .1570822{col 37}{space 1}   -0.39{col 46}{space 3}0.699{col 54}{space 4}-.3693567{col 67}{space 3} .2479063
{txt}{space 9}e12 {c |}{col 14}{res}{space 2}-.0421645{col 26}{space 2} .1701249{col 37}{space 1}   -0.25{col 46}{space 3}0.804{col 54}{space 4}-.3764221{col 67}{space 3}  .292093
{txt}{space 9}e13 {c |}{col 14}{res}{space 2} -.177091{col 26}{space 2} .1307431{col 37}{space 1}   -1.35{col 46}{space 3}0.176{col 54}{space 4}-.4339722{col 67}{space 3} .0797902
{txt}{space 9}e14 {c |}{col 14}{res}{space 2}-.1717881{col 26}{space 2} .1604114{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-.4869608{col 67}{space 3} .1433847
{txt}{space 9}e15 {c |}{col 14}{res}{space 2}  -.17479{col 26}{space 2}  .166559{col 37}{space 1}   -1.05{col 46}{space 3}0.294{col 54}{space 4}-.5020415{col 67}{space 3} .1524615
{txt}{space 9}e16 {c |}{col 14}{res}{space 2} -.013022{col 26}{space 2} .2055159{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4}-.4168152{col 67}{space 3} .3907711
{txt}{space 9}e17 {c |}{col 14}{res}{space 2}-.0764374{col 26}{space 2} .2073725{col 37}{space 1}   -0.37{col 46}{space 3}0.713{col 54}{space 4}-.4838783{col 67}{space 3} .3310035
{txt}{space 9}e18 {c |}{col 14}{res}{space 2}-.3035391{col 26}{space 2} .1742638{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4}-.6459287{col 67}{space 3} .0388505
{txt}{space 9}e19 {c |}{col 14}{res}{space 2}-.2438293{col 26}{space 2} .1820752{col 37}{space 1}   -1.34{col 46}{space 3}0.181{col 54}{space 4}-.6015667{col 67}{space 3}  .113908
{txt}{space 9}e20 {c |}{col 14}{res}{space 2}-.2927212{col 26}{space 2} .1816676{col 37}{space 1}   -1.61{col 46}{space 3}0.108{col 54}{space 4}-.6496576{col 67}{space 3} .0642152
{txt}{space 9}e21 {c |}{col 14}{res}{space 2}-.3137241{col 26}{space 2} .1653393{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.6385791{col 67}{space 3} .0111309
{txt}{space 9}e22 {c |}{col 14}{res}{space 2} -.323891{col 26}{space 2} .1858223{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4}-.6889905{col 67}{space 3} .0412085
{txt}{space 9}e23 {c |}{col 14}{res}{space 2}-.2608909{col 26}{space 2} .1856518{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4}-.6256555{col 67}{space 3} .1038737
{txt}{space 9}e24 {c |}{col 14}{res}{space 2}-.3123462{col 26}{space 2} .1753409{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.6568521{col 67}{space 3} .0321596
{txt}{space 9}e25 {c |}{col 14}{res}{space 2}-.2540922{col 26}{space 2} .1990437{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.6451688{col 67}{space 3} .1369844
{txt}{space 9}e26 {c |}{col 14}{res}{space 2}-.3405209{col 26}{space 2} .1867478{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4}-.7074388{col 67}{space 3} .0263971
{txt}{space 9}e27 {c |}{col 14}{res}{space 2}-.2092219{col 26}{space 2} .1897401{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4}-.5820191{col 67}{space 3} .1635753
{txt}{space 9}e28 {c |}{col 14}{res}{space 2}-.2584643{col 26}{space 2} .1886481{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.6291159{col 67}{space 3} .1121872
{txt}{space 9}e29 {c |}{col 14}{res}{space 2}-.2680907{col 26}{space 2} .1732539{col 37}{space 1}   -1.55{col 46}{space 3}0.122{col 54}{space 4}-.6084962{col 67}{space 3} .0723147
{txt}{space 9}e30 {c |}{col 14}{res}{space 2}-.3068511{col 26}{space 2} .1665817{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4} -.634147{col 67}{space 3} .0204449
{txt}{space 9}e31 {c |}{col 14}{res}{space 2}-.2558276{col 26}{space 2} .1710034{col 37}{space 1}   -1.50{col 46}{space 3}0.135{col 54}{space 4}-.5918114{col 67}{space 3} .0801561
{txt}{space 9}e32 {c |}{col 14}{res}{space 2}-.3356633{col 26}{space 2} .1673817{col 37}{space 1}   -2.01{col 46}{space 3}0.045{col 54}{space 4}-.6645311{col 67}{space 3}-.0067955
{txt}{space 9}e33 {c |}{col 14}{res}{space 2}-.3135423{col 26}{space 2} .1671669{col 37}{space 1}   -1.88{col 46}{space 3}0.061{col 54}{space 4} -.641988{col 67}{space 3} .0149035
{txt}{space 9}e34 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} 3.988927{col 26}{space 2} .0870227{col 37}{space 1}   45.84{col 46}{space 3}0.000{col 54}{space 4} 3.817947{col 67}{space 3} 4.159907
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      495{col 27}{space 1}      495{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}       60{col 27}{space 1}        0{col 39}{result}{space 1}       60{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. mat dd1 = r(table)
{txt}
{com}. test eL26 eL25 eL24 eL23 eL22 eL21 eL20 eL19 eL18 eL17 eL16 eL15 ///
> eL14 eL13 eL12 eL11 eL10 eL9 eL8 eL7 eL6

{p 0 7}{space 1}{text:( 1)}{space 1} {res}eL26 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} eL25 = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} eL24 = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} eL23 = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} eL22 = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} eL21 = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} eL20 = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} eL19 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} eL18 = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} eL17 = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} eL16 = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} eL15 = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} eL14 = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} eL13 = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} eL12 = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} eL11 = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} eL10 = 0{p_end}
{p 0 7}{space 1}{text:(18)}{space 1} eL9 = 0{p_end}
{p 0 7}{space 1}{text:(19)}{space 1} eL8 = 0{p_end}
{p 0 7}{space 1}{text:(20)}{space 1} eL7 = 0{p_end}
{p 0 7}{space 1}{text:(21)}{space 1} eL6 = 0{p_end}

{txt}       F( 21,   494) ={res}    1.59
{txt}{col 13}Prob > F ={res}    0.0464
{txt}
{com}. test eL4 eL3 eL2 eL1 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}eL4 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} eL3 = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} eL2 = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} eL1 = 0{p_end}

{txt}       F(  4,   494) ={res}    0.53
{txt}{col 13}Prob > F ={res}    0.7141
{txt}
{com}. 
. reghdfe logwater eL26-eL6 eL4-eL1 e0-e34 if dataset == 2, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: eL26 omitted because of collinearity
{txt}note: eL25 omitted because of collinearity
{txt}note: eL24 omitted because of collinearity
{txt}note: eL23 omitted because of collinearity
{txt}note: eL22 omitted because of collinearity
{txt}note: eL21 omitted because of collinearity
{txt}note: eL20 omitted because of collinearity
{txt}note: eL19 omitted because of collinearity
{txt}note: eL18 omitted because of collinearity
{txt}note: eL17 omitted because of collinearity
{txt}note: eL16 omitted because of collinearity
{txt}note: eL15 omitted because of collinearity
{txt}note: eL14 omitted because of collinearity
{txt}note: eL13 omitted because of collinearity
{txt}note: eL12 omitted because of collinearity
{txt}note: eL11 omitted because of collinearity
{txt}note: eL10 omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    99,000
{txt}Absorbing 2 HDFE groups{col 51}F({res}  43{txt},{res}    494{txt}){col 67}= {res}      2.06
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0001
{txt}{col 51}R-squared{col 67}= {res}    0.4887
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4849
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0006
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       495{txt}{col 51}Root MSE{col 67}= {res}    0.8977

{txt}{ralign 78:(Std. Err. adjusted for {res:495} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}eL26 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL25 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL24 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL23 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL22 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL21 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL20 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL19 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL18 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL17 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL16 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL15 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL14 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL13 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL12 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL11 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL10 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}eL9 {c |}{col 14}{res}{space 2}-.0451232{col 26}{space 2} .0746925{col 37}{space 1}   -0.60{col 46}{space 3}0.546{col 54}{space 4}-.1918774{col 67}{space 3} .1016311
{txt}{space 9}eL8 {c |}{col 14}{res}{space 2}-.0159691{col 26}{space 2} .0866164{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.1861511{col 67}{space 3} .1542128
{txt}{space 9}eL7 {c |}{col 14}{res}{space 2}-.0077582{col 26}{space 2} .0674792{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.1403398{col 67}{space 3} .1248233
{txt}{space 9}eL6 {c |}{col 14}{res}{space 2} .0486861{col 26}{space 2} .0730407{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0948226{col 67}{space 3} .1921948
{txt}{space 9}eL4 {c |}{col 14}{res}{space 2}-.0049611{col 26}{space 2}  .075901{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4}-.1540897{col 67}{space 3} .1441675
{txt}{space 9}eL3 {c |}{col 14}{res}{space 2}-.0181406{col 26}{space 2} .0856751{col 37}{space 1}   -0.21{col 46}{space 3}0.832{col 54}{space 4}-.1864732{col 67}{space 3}  .150192
{txt}{space 9}eL2 {c |}{col 14}{res}{space 2} -.072352{col 26}{space 2} .1010338{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}-.2708609{col 67}{space 3} .1261569
{txt}{space 9}eL1 {c |}{col 14}{res}{space 2} .0162063{col 26}{space 2} .0756559{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4}-.1324407{col 67}{space 3} .1648532
{txt}{space 10}e0 {c |}{col 14}{res}{space 2}-.1076646{col 26}{space 2} .0922545{col 37}{space 1}   -1.17{col 46}{space 3}0.244{col 54}{space 4}-.2889242{col 67}{space 3} .0735951
{txt}{space 10}e1 {c |}{col 14}{res}{space 2}-.2448263{col 26}{space 2} .0956221{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-.4327023{col 67}{space 3}-.0569502
{txt}{space 10}e2 {c |}{col 14}{res}{space 2}-.3240752{col 26}{space 2} .1649105{col 37}{space 1}   -1.97{col 46}{space 3}0.050{col 54}{space 4}-.6480877{col 67}{space 3}-.0000628
{txt}{space 10}e3 {c |}{col 14}{res}{space 2}-.3299773{col 26}{space 2} .1483897{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4}  -.62153{col 67}{space 3}-.0384246
{txt}{space 10}e4 {c |}{col 14}{res}{space 2} -.305885{col 26}{space 2} .1787636{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4}-.6571157{col 67}{space 3} .0453456
{txt}{space 10}e5 {c |}{col 14}{res}{space 2}-.3397369{col 26}{space 2} .1822131{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-.6977451{col 67}{space 3} .0182713
{txt}{space 10}e6 {c |}{col 14}{res}{space 2}-.3289037{col 26}{space 2} .1779971{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4}-.6786284{col 67}{space 3}  .020821
{txt}{space 10}e7 {c |}{col 14}{res}{space 2}-.4216372{col 26}{space 2} .1922619{col 37}{space 1}   -2.19{col 46}{space 3}0.029{col 54}{space 4}-.7993891{col 67}{space 3}-.0438853
{txt}{space 10}e8 {c |}{col 14}{res}{space 2} -.403247{col 26}{space 2} .1780214{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4}-.7530194{col 67}{space 3}-.0534746
{txt}{space 10}e9 {c |}{col 14}{res}{space 2}-.3888029{col 26}{space 2} .2052102{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.7919953{col 67}{space 3} .0143895
{txt}{space 9}e10 {c |}{col 14}{res}{space 2}-.5462194{col 26}{space 2} .1994557{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4}-.9381055{col 67}{space 3}-.1543333
{txt}{space 9}e11 {c |}{col 14}{res}{space 2}-.3861108{col 26}{space 2} .2125989{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.8038203{col 67}{space 3} .0315987
{txt}{space 9}e12 {c |}{col 14}{res}{space 2}-.3407077{col 26}{space 2} .1942738{col 37}{space 1}   -1.75{col 46}{space 3}0.080{col 54}{space 4}-.7224125{col 67}{space 3} .0409971
{txt}{space 9}e13 {c |}{col 14}{res}{space 2}-.3740692{col 26}{space 2} .1834539{col 37}{space 1}   -2.04{col 46}{space 3}0.042{col 54}{space 4}-.7345153{col 67}{space 3}-.0136231
{txt}{space 9}e14 {c |}{col 14}{res}{space 2}-.2615162{col 26}{space 2} .1530337{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4}-.5621934{col 67}{space 3}  .039161
{txt}{space 9}e15 {c |}{col 14}{res}{space 2}-.3700722{col 26}{space 2} .1657555{col 37}{space 1}   -2.23{col 46}{space 3}0.026{col 54}{space 4} -.695745{col 67}{space 3}-.0443995
{txt}{space 9}e16 {c |}{col 14}{res}{space 2}-.3956759{col 26}{space 2} .1529866{col 37}{space 1}   -2.59{col 46}{space 3}0.010{col 54}{space 4}-.6962605{col 67}{space 3}-.0950913
{txt}{space 9}e17 {c |}{col 14}{res}{space 2}-.2077003{col 26}{space 2} .1463411{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4} -.495228{col 67}{space 3} .0798274
{txt}{space 9}e18 {c |}{col 14}{res}{space 2}-.3164739{col 26}{space 2} .1484874{col 37}{space 1}   -2.13{col 46}{space 3}0.034{col 54}{space 4}-.6082187{col 67}{space 3} -.024729
{txt}{space 9}e19 {c |}{col 14}{res}{space 2}-.3477187{col 26}{space 2} .1464443{col 37}{space 1}   -2.37{col 46}{space 3}0.018{col 54}{space 4}-.6354492{col 67}{space 3}-.0599883
{txt}{space 9}e20 {c |}{col 14}{res}{space 2}-.5585368{col 26}{space 2} .1853823{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-.9227718{col 67}{space 3}-.1943018
{txt}{space 9}e21 {c |}{col 14}{res}{space 2}-.4158372{col 26}{space 2} .1505107{col 37}{space 1}   -2.76{col 46}{space 3}0.006{col 54}{space 4}-.7115573{col 67}{space 3}-.1201171
{txt}{space 9}e22 {c |}{col 14}{res}{space 2}-.4237977{col 26}{space 2} .1631991{col 37}{space 1}   -2.60{col 46}{space 3}0.010{col 54}{space 4}-.7444477{col 67}{space 3}-.1031477
{txt}{space 9}e23 {c |}{col 14}{res}{space 2}-.3688553{col 26}{space 2} .1689219{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4}-.7007494{col 67}{space 3}-.0369613
{txt}{space 9}e24 {c |}{col 14}{res}{space 2}-.4259967{col 26}{space 2} .1695329{col 37}{space 1}   -2.51{col 46}{space 3}0.012{col 54}{space 4}-.7590912{col 67}{space 3}-.0929021
{txt}{space 9}e25 {c |}{col 14}{res}{space 2}-.3911283{col 26}{space 2} .1340726{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-.6545512{col 67}{space 3}-.1277055
{txt}{space 9}e26 {c |}{col 14}{res}{space 2}-.3455558{col 26}{space 2} .1277811{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-.5966172{col 67}{space 3}-.0944944
{txt}{space 9}e27 {c |}{col 14}{res}{space 2}-.3811204{col 26}{space 2} .1375864{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}-.6514471{col 67}{space 3}-.1107936
{txt}{space 9}e28 {c |}{col 14}{res}{space 2}-.2383112{col 26}{space 2} .1220685{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4}-.4781486{col 67}{space 3} .0015262
{txt}{space 9}e29 {c |}{col 14}{res}{space 2}-.3465758{col 26}{space 2} .1252784{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}  -.59272{col 67}{space 3}-.1004316
{txt}{space 9}e30 {c |}{col 14}{res}{space 2}-.3208583{col 26}{space 2} .1438329{col 37}{space 1}   -2.23{col 46}{space 3}0.026{col 54}{space 4}-.6034579{col 67}{space 3}-.0382587
{txt}{space 9}e31 {c |}{col 14}{res}{space 2}-.4255957{col 26}{space 2} .1507718{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-.7218287{col 67}{space 3}-.1293627
{txt}{space 9}e32 {c |}{col 14}{res}{space 2}-.3897518{col 26}{space 2} .1608735{col 37}{space 1}   -2.42{col 46}{space 3}0.016{col 54}{space 4}-.7058325{col 67}{space 3}-.0736711
{txt}{space 9}e33 {c |}{col 14}{res}{space 2}-.2473472{col 26}{space 2} .1565076{col 37}{space 1}   -1.58{col 46}{space 3}0.115{col 54}{space 4}-.5548498{col 67}{space 3} .0601555
{txt}{space 9}e34 {c |}{col 14}{res}{space 2}-.2285483{col 26}{space 2} .1195356{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.4634092{col 67}{space 3} .0063126
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.753296{col 26}{space 2} .0101017{col 37}{space 1}  371.55{col 46}{space 3}0.000{col 54}{space 4} 3.733448{col 67}{space 3} 3.773144
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      495{col 27}{space 1}      495{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      200{col 27}{space 1}        0{col 39}{result}{space 1}      200{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. mat dd2 = r(table)
{txt}
{com}. test eL9 eL8 eL7 eL6

{p 0 7}{space 1}{text:( 1)}{space 1} {res}eL9 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} eL8 = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} eL7 = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} eL6 = 0{p_end}

{txt}       F(  4,   494) ={res}    0.74
{txt}{col 13}Prob > F ={res}    0.5677
{txt}
{com}. test eL4 eL3 eL2 eL1 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}eL4 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} eL3 = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} eL2 = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} eL1 = 0{p_end}

{txt}       F(  4,   494) ={res}    0.29
{txt}{col 13}Prob > F ={res}    0.8820
{txt}
{com}. 
. reghdfe logwater eL26-eL6 eL4-eL1 e0-e34 if dataset == 3, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: eL26 omitted because of collinearity
{txt}note: eL25 omitted because of collinearity
{txt}note: eL24 omitted because of collinearity
{txt}note: eL23 omitted because of collinearity
{txt}note: eL22 omitted because of collinearity
{txt}note: eL21 omitted because of collinearity
{txt}note: eL20 omitted because of collinearity
{txt}note: eL19 omitted because of collinearity
{txt}note: eL18 omitted because of collinearity
{txt}note: eL17 omitted because of collinearity
{txt}note: eL16 omitted because of collinearity
{txt}note: eL15 omitted because of collinearity
{txt}note: eL14 omitted because of collinearity
{txt}note: eL13 omitted because of collinearity
{txt}note: eL12 omitted because of collinearity
{txt}note: eL11 omitted because of collinearity
{txt}note: eL10 omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   107,000
{txt}Absorbing 2 HDFE groups{col 51}F({res}  43{txt},{res}    534{txt}){col 67}= {res}      1.60
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0111
{txt}{col 51}R-squared{col 67}= {res}    0.5093
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5057
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0005
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       535{txt}{col 51}Root MSE{col 67}= {res}    0.8709

{txt}{ralign 78:(Std. Err. adjusted for {res:535} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}eL26 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL25 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL24 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL23 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL22 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL21 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL20 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL19 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL18 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL17 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL16 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL15 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL14 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL13 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL12 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL11 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}eL10 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}eL9 {c |}{col 14}{res}{space 2} .0181884{col 26}{space 2} .0679647{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-.1153225{col 67}{space 3} .1516993
{txt}{space 9}eL8 {c |}{col 14}{res}{space 2} .0901256{col 26}{space 2} .0580094{col 37}{space 1}    1.55{col 46}{space 3}0.121{col 54}{space 4} -.023829{col 67}{space 3} .2040802
{txt}{space 9}eL7 {c |}{col 14}{res}{space 2}-.0368033{col 26}{space 2} .0622374{col 37}{space 1}   -0.59{col 46}{space 3}0.555{col 54}{space 4}-.1590635{col 67}{space 3} .0854568
{txt}{space 9}eL6 {c |}{col 14}{res}{space 2}-.0347167{col 26}{space 2} .0851837{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4} -.202053{col 67}{space 3} .1326197
{txt}{space 9}eL4 {c |}{col 14}{res}{space 2}-.0221298{col 26}{space 2} .0682638{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-.1562283{col 67}{space 3} .1119686
{txt}{space 9}eL3 {c |}{col 14}{res}{space 2}-.0608903{col 26}{space 2} .0890745{col 37}{space 1}   -0.68{col 46}{space 3}0.495{col 54}{space 4}-.2358697{col 67}{space 3} .1140892
{txt}{space 9}eL2 {c |}{col 14}{res}{space 2}-.0544387{col 26}{space 2} .0913434{col 37}{space 1}   -0.60{col 46}{space 3}0.551{col 54}{space 4}-.2338751{col 67}{space 3} .1249978
{txt}{space 9}eL1 {c |}{col 14}{res}{space 2} -.020287{col 26}{space 2} .0822655{col 37}{space 1}   -0.25{col 46}{space 3}0.805{col 54}{space 4}-.1818906{col 67}{space 3} .1413167
{txt}{space 10}e0 {c |}{col 14}{res}{space 2}-.1495731{col 26}{space 2} .0995634{col 37}{space 1}   -1.50{col 46}{space 3}0.134{col 54}{space 4}-.3451571{col 67}{space 3}  .046011
{txt}{space 10}e1 {c |}{col 14}{res}{space 2}-.0978661{col 26}{space 2} .0937136{col 37}{space 1}   -1.04{col 46}{space 3}0.297{col 54}{space 4}-.2819586{col 67}{space 3} .0862265
{txt}{space 10}e2 {c |}{col 14}{res}{space 2}-.1044237{col 26}{space 2} .0947432{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4}-.2905388{col 67}{space 3} .0816914
{txt}{space 10}e3 {c |}{col 14}{res}{space 2}-.2032166{col 26}{space 2} .1044203{col 37}{space 1}   -1.95{col 46}{space 3}0.052{col 54}{space 4}-.4083416{col 67}{space 3} .0019084
{txt}{space 10}e4 {c |}{col 14}{res}{space 2}-.0592319{col 26}{space 2} .1006582{col 37}{space 1}   -0.59{col 46}{space 3}0.556{col 54}{space 4}-.2569665{col 67}{space 3} .1385027
{txt}{space 10}e5 {c |}{col 14}{res}{space 2}-.1660354{col 26}{space 2}  .115248{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-.3924305{col 67}{space 3} .0603596
{txt}{space 10}e6 {c |}{col 14}{res}{space 2}-.2247433{col 26}{space 2} .1149011{col 37}{space 1}   -1.96{col 46}{space 3}0.051{col 54}{space 4} -.450457{col 67}{space 3} .0009703
{txt}{space 10}e7 {c |}{col 14}{res}{space 2}-.3286842{col 26}{space 2} .1251327{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-.5744969{col 67}{space 3}-.0828715
{txt}{space 10}e8 {c |}{col 14}{res}{space 2}-.1870753{col 26}{space 2} .1223579{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-.4274371{col 67}{space 3} .0532865
{txt}{space 10}e9 {c |}{col 14}{res}{space 2}-.0554926{col 26}{space 2} .1193249{col 37}{space 1}   -0.47{col 46}{space 3}0.642{col 54}{space 4}-.2898963{col 67}{space 3} .1789111
{txt}{space 9}e10 {c |}{col 14}{res}{space 2}-.2229768{col 26}{space 2} .1368961{col 37}{space 1}   -1.63{col 46}{space 3}0.104{col 54}{space 4}-.4918977{col 67}{space 3} .0459441
{txt}{space 9}e11 {c |}{col 14}{res}{space 2}-.1043944{col 26}{space 2} .1481801{col 37}{space 1}   -0.70{col 46}{space 3}0.481{col 54}{space 4}-.3954818{col 67}{space 3}  .186693
{txt}{space 9}e12 {c |}{col 14}{res}{space 2}-.0910363{col 26}{space 2} .1449902{col 37}{space 1}   -0.63{col 46}{space 3}0.530{col 54}{space 4}-.3758574{col 67}{space 3} .1937849
{txt}{space 9}e13 {c |}{col 14}{res}{space 2}-.0993872{col 26}{space 2} .1450876{col 37}{space 1}   -0.69{col 46}{space 3}0.494{col 54}{space 4}-.3843996{col 67}{space 3} .1856253
{txt}{space 9}e14 {c |}{col 14}{res}{space 2}-.1534741{col 26}{space 2}  .125857{col 37}{space 1}   -1.22{col 46}{space 3}0.223{col 54}{space 4}-.4007097{col 67}{space 3} .0937616
{txt}{space 9}e15 {c |}{col 14}{res}{space 2}-.0477697{col 26}{space 2} .1223635{col 37}{space 1}   -0.39{col 46}{space 3}0.696{col 54}{space 4}-.2881426{col 67}{space 3} .1926031
{txt}{space 9}e16 {c |}{col 14}{res}{space 2}-.1333269{col 26}{space 2}  .109633{col 37}{space 1}   -1.22{col 46}{space 3}0.224{col 54}{space 4}-.3486917{col 67}{space 3} .0820379
{txt}{space 9}e17 {c |}{col 14}{res}{space 2}-.0389051{col 26}{space 2} .1034918{col 37}{space 1}   -0.38{col 46}{space 3}0.707{col 54}{space 4}-.2422062{col 67}{space 3} .1643959
{txt}{space 9}e18 {c |}{col 14}{res}{space 2}-.0593166{col 26}{space 2} .1050366{col 37}{space 1}   -0.56{col 46}{space 3}0.572{col 54}{space 4}-.2656521{col 67}{space 3} .1470189
{txt}{space 9}e19 {c |}{col 14}{res}{space 2}-.1962142{col 26}{space 2} .1111742{col 37}{space 1}   -1.76{col 46}{space 3}0.078{col 54}{space 4}-.4146067{col 67}{space 3} .0221783
{txt}{space 9}e20 {c |}{col 14}{res}{space 2}-.3322225{col 26}{space 2} .1322191{col 37}{space 1}   -2.51{col 46}{space 3}0.012{col 54}{space 4}-.5919558{col 67}{space 3}-.0724892
{txt}{space 9}e21 {c |}{col 14}{res}{space 2} -.231804{col 26}{space 2}   .12283{col 37}{space 1}   -1.89{col 46}{space 3}0.060{col 54}{space 4}-.4730932{col 67}{space 3} .0094853
{txt}{space 9}e22 {c |}{col 14}{res}{space 2}-.2285532{col 26}{space 2} .1113323{col 37}{space 1}   -2.05{col 46}{space 3}0.041{col 54}{space 4}-.4472561{col 67}{space 3}-.0098502
{txt}{space 9}e23 {c |}{col 14}{res}{space 2}-.2663721{col 26}{space 2} .1176351{col 37}{space 1}   -2.26{col 46}{space 3}0.024{col 54}{space 4}-.4974565{col 67}{space 3}-.0352877
{txt}{space 9}e24 {c |}{col 14}{res}{space 2}-.1852516{col 26}{space 2} .1061019{col 37}{space 1}   -1.75{col 46}{space 3}0.081{col 54}{space 4}-.3936799{col 67}{space 3} .0231768
{txt}{space 9}e25 {c |}{col 14}{res}{space 2}-.1725179{col 26}{space 2} .1079841{col 37}{space 1}   -1.60{col 46}{space 3}0.111{col 54}{space 4}-.3846435{col 67}{space 3} .0396078
{txt}{space 9}e26 {c |}{col 14}{res}{space 2} -.262602{col 26}{space 2} .1300054{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-.5179868{col 67}{space 3}-.0072173
{txt}{space 9}e27 {c |}{col 14}{res}{space 2} -.289412{col 26}{space 2}  .130321{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4}-.5454168{col 67}{space 3}-.0334073
{txt}{space 9}e28 {c |}{col 14}{res}{space 2} -.220307{col 26}{space 2} .1218806{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-.4597312{col 67}{space 3} .0191173
{txt}{space 9}e29 {c |}{col 14}{res}{space 2}-.1847926{col 26}{space 2} .1113008{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4}-.4034337{col 67}{space 3} .0338485
{txt}{space 9}e30 {c |}{col 14}{res}{space 2}-.1349935{col 26}{space 2}  .115303{col 37}{space 1}   -1.17{col 46}{space 3}0.242{col 54}{space 4}-.3614967{col 67}{space 3} .0915097
{txt}{space 9}e31 {c |}{col 14}{res}{space 2}-.2257741{col 26}{space 2}  .126089{col 37}{space 1}   -1.79{col 46}{space 3}0.074{col 54}{space 4}-.4734654{col 67}{space 3} .0219171
{txt}{space 9}e32 {c |}{col 14}{res}{space 2}-.1415828{col 26}{space 2} .1078373{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-.3534202{col 67}{space 3} .0702546
{txt}{space 9}e33 {c |}{col 14}{res}{space 2}-.1635465{col 26}{space 2} .1085667{col 37}{space 1}   -1.51{col 46}{space 3}0.133{col 54}{space 4}-.3768167{col 67}{space 3} .0497236
{txt}{space 9}e34 {c |}{col 14}{res}{space 2}-.2004458{col 26}{space 2} .0963524{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-.3897221{col 67}{space 3}-.0111695
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.740125{col 26}{space 2} .0146026{col 37}{space 1}  256.13{col 46}{space 3}0.000{col 54}{space 4} 3.711439{col 67}{space 3} 3.768811
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      535{col 27}{space 1}      535{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      200{col 27}{space 1}        0{col 39}{result}{space 1}      200{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. mat dd3 = r(table)
{txt}
{com}. test eL9 eL8 eL7 eL6

{p 0 7}{space 1}{text:( 1)}{space 1} {res}eL9 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} eL8 = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} eL7 = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} eL6 = 0{p_end}

{txt}       F(  4,   534) ={res}    1.92
{txt}{col 13}Prob > F ={res}    0.1057
{txt}
{com}. test eL4 eL3 eL2 eL1 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}eL4 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} eL3 = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} eL2 = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} eL1 = 0{p_end}

{txt}       F(  4,   534) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.9373
{txt}
{com}. 
. 
. * Figure 3. Event estimates
. 
. clear
{txt}
{com}. set obs 60
{txt}{p}
number of observations (_N)  was 0,
now 60
{p_end}

{com}. gen event = _n-27 if _n <= 21
{txt}(39 missing values generated)

{com}. replace event = _n-26 if _n >= 22
{txt}(39 real changes made)

{com}. forvalues i = 1(1)3 {c -(}
{txt}  2{com}.         gen beta`i' = .
{txt}  3{com}.         gen betalow`i' = .
{txt}  4{com}.         gen betahigh`i' = .
{txt}  5{com}.         forvalues j = 1(1)60 {c -(}
{txt}  6{com}.                 replace beta`i' = dd`i'[1,`j'] if _n == `j'
{txt}  7{com}.                 replace betalow`i' = dd`i'[5,`j'] if _n == `j'
{txt}  8{com}.                 replace betahigh`i' = dd`i'[6,`j'] if _n == `j'
{txt}  9{com}.         {c )-}
{txt} 10{com}.         replace beta`i' = . if beta`i' == 0
{txt} 11{com}.         replace betalow`i' = . if beta`i' == 0
{txt} 12{com}.         replace betahigh`i' = . if beta`i' == 0
{txt} 13{com}.         replace betalow`i' = -0.7 if betalow`i' <= -0.7
{txt} 14{com}.         replace betahigh`i' = 0.3 if betahigh`i' >= 0.3
{txt} 15{com}. {c )-}
{txt}(60 missing values generated)
(60 missing values generated)
(60 missing values generated)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made, 1 to missing)
(0 real changes made)
(0 real changes made)
(1 real change made)
(20 real changes made)
(60 missing values generated)
(60 missing values generated)
(60 missing values generated)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(17 real changes made, 17 to missing)
(0 real changes made)
(0 real changes made)
(14 real changes made)
(17 real changes made)
(60 missing values generated)
(60 missing values generated)
(60 missing values generated)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(17 real changes made, 17 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(17 real changes made)

{com}. 
. set obs 61
{txt}{p}
number of observations (_N)  was 60,
now 61
{p_end}

{com}. replace event = -5 if _n == 61
{txt}(1 real change made)

{com}. 
. forvalues i = 1(1)3 {c -(}
{txt}  2{com}.         replace beta`i' = 0 if event == -5
{txt}  3{com}.         replace betalow`i' = 0 if event == -5
{txt}  4{com}.         replace betahigh`i' = 0 if event == -5
{txt}  5{com}.         egen betaprem`i' = mean(beta`i') if event <= -6
{txt}  6{com}.         egen betaantm`i' = mean(beta`i') if event >= -4 & event <= -1 
{txt}  7{com}.         egen betapostm`i' = mean(beta`i') if event >= 0 & event <= 33
{txt}  8{com}. {c )-}
{txt}(1 real change made)
(1 real change made)
(1 real change made)
(40 missing values generated)
(57 missing values generated)
(27 missing values generated)
(1 real change made)
(1 real change made)
(1 real change made)
(40 missing values generated)
(57 missing values generated)
(27 missing values generated)
(1 real change made)
(1 real change made)
(1 real change made)
(40 missing values generated)
(57 missing values generated)
(27 missing values generated)

{com}. replace event = 37 if event == 34
{txt}(1 real change made)

{com}. replace betapostm1 = . if event >= 34
{txt}(0 real changes made)

{com}. replace betaprem2 = . if event <= -10
{txt}(17 real changes made, 17 to missing)

{com}. replace betaprem3 = . if event <= -10
{txt}(17 real changes made, 17 to missing)

{com}. 
. sort event
{txt}
{com}. 
. twoway (scatter beta1 event, msize(vsmall)) ///
> (scatter beta1 event if event == -5, mc(navy)) ///
> (rcap betahigh1 betalow1 event, lc(navy%50)) ///
> (line betaprem1 event, lc(maroon) lw(thick)) ///
> (line betaantm1 event, lc(maroon) lw(thick)) ///
> (line betapostm1 event, lc(maroon) lw(thick)), ///
> xli(-0.5, lp(dash) lc(forest_green)) ///
> ti("A. Group 1 diff-in-diff event estimates") yti("Estimated log effect") xti("Event week in Period 1") ///
> ysc(r(-0.7 0.35)) ylab(-0.6(0.2)0.2) xsc(r(-30 40)) xlab(-30(10)30) ///
> leg(off) graphregion(color(white)) 
{res}{txt}
{com}. graph save "$results\TempA", replace
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempA.gph saved)

{com}. 
. twoway (scatter beta2 event, msize(vsmall)) ///
> (scatter beta2 event if event == -5, mc(navy)) ///
> (rcap betahigh2 betalow2 e, lc(navy%50)) ///
> (line betaprem2 event, lc(maroon) lw(thick)) ///
> (line betaantm2 event, lc(maroon) lw(thick)) ///
> (line betapostm2 event, lc(maroon) lw(thick)), ///
> xli(-0.5, lp(dash) lc(forest_green)) ///
> ti("B. Group 2 diff-in-diff event estimates") yti("Estimated log effect") xti("Event week in Period 2") ///
> ysc(r(-0.7 0.35)) ylab(-0.6(0.2)0.2) xsc(r(-30 40)) xlab(-30(10)30 37 "34-191") ///
> leg(off) graphregion(color(white)) 
{res}{txt}
{com}. graph save "$results\TempB", replace
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempB.gph saved)

{com}. 
. twoway (scatter beta3 event, msize(vsmall)) ///
> (scatter beta3 event if event == -5, mc(navy)) ///
> (rcap betahigh3 betalow3 event, lc(navy%50)) ///
> (line betaprem3 event, lc(maroon) lw(thick)) ///
> (line betaantm3 event, lc(maroon) lw(thick)) ///
> (line betapostm3 event, lc(maroon) lw(thick)), ///
> xli(-0.5, lp(dash) lc(forest_green)) ///
> ti("C. Group 3 diff-in-diff event estimates") yti("Estimated log effect") xti("Event week in Period 2") ///
> ysc(r(-0.7 0.35)) ylab(-0.6(0.2)0.2) xsc(r(-30 40)) xlab(-30(10)30 37 "34-191") ///
> leg(off) graphregion(color(white)) 
{res}{txt}
{com}. graph save "$results\TempC", replace
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\TempC.gph saved)

{com}. 
. graph combine "$results\TempA" "$results\TempB" "$results\TempC", ///
> rows(3) graphregion(color(white)) iscale(0.7) ysize(8)
{res}{txt}
{com}. graph save "$outfile", replace
{txt}(note: file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\Figure 3.gph not found)
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\Figure 3.gph saved)

{com}. 
{txt}end of do-file

{com}. do "$analyze\Figure 4. Deadweight loss.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results\Figure 4"
{txt}
{com}. 
. 
. * Inputs
. 
. scalar pre = 99.29
{txt}
{com}. scalar effect = -17.77
{txt}
{com}. scalar pos = pre + effect
{txt}
{com}. scalar p1 = 0
{txt}
{com}. scalar p2 = 0.09
{txt}
{com}. scalar Q1 = pre
{txt}
{com}. scalar Q2 = pre + effect
{txt}
{com}. 
. 
. * Computation - Demand curve
. 
. scalar slope = (p2-p1)/(Q2-Q1)
{txt}
{com}. scalar intercept = -(slope)*pre
{txt}
{com}. scalar dwl = (effect * p2)/2
{txt}
{com}. 
. 
. * Results
. 
. display slope                  
{res}-.00506472
{txt}
{com}. display intercept        
{res}.50287563
{txt}
{com}. display dwl              
{res}-.79965
{txt}
{com}. display Q2               
{res}81.52
{txt}
{com}. 
. 
. * Figure 4. DWL
. 
. clear
{txt}
{com}. set obs 10000                                    
{txt}{p}
number of observations (_N)  was 0,
now 10,000
{p_end}

{com}. gen x = (_n-1)/100
{txt}
{com}. gen D = intercept + slope * x
{txt}
{com}. gen S = 0.09
{txt}
{com}. gen y0 = 0
{txt}
{com}. drop if x > pre
{txt}(71 observations deleted)

{com}. scalar b = Q2 + 100                              /* to adjust border of B area*/
{txt}
{com}. global pre = pre
{txt}
{com}. global pos = pos
{txt}
{com}. 
. twoway (rarea D S x if x<= Q2,color(white%50) lcolor(black) lpattern(dash)) ///
> (rarea D S x if x>= Q2, color(gs10%50) lcolor(black) lpattern(dash)) ///
> (rarea y0 S x if x<= b,color(white%50) lcolor(black) lpattern(dash)) ///
> (rarea y0 D x if x>= Q2,color(white%50) lcolor(black) lpattern(dash)) ///
> (line D S x, lcolor(navy maroon) lwidth(thick medium)) ///
> (scatteri 0.09 $pos (1) "With IMB", mcolor(dark) mlabcolor(dark)) ///
> (scatteri 0 $pre (2) "Without IMB", mcolor(dark) mlabcolor(dark)), ///
> legend(order(5 "Demand" 6 "Supply") region(lstyle(none) lcolor(white))) ///
> text(0.25 20 "A", place(e) color(black)) ///
> text(0.05 40 "B", place(e) color(black)) ///
> text(0.035 85 "C", place(e) color(black)) ///
> text(0.06 90 "DWL", place(e) color(black)) ///
> text(0.12 40 "Supply", color(maroon)) ///
> text(0.38 40 "Demand", color(navy)) ///
> xlabel(,labs(small)) xtitle("Hot water consumption (l/day)",size(small)) ///
> ylabel(,labs(small)) ytitle("Price (SEK/l)", size(small)) graphregion(color(white)) ///
> xsc(r(0 120)) leg(off)
{p 0 4 2}
{txt}(note:  named style
dark not found in class
color,  default attributes used)
{p_end}
{p 0 4 2}
{txt}(note:  named style
dark not found in class
color,  default attributes used)
{p_end}
{p 0 4 2}
{txt}(note:  named style
dark not found in class
color,  default attributes used)
{p_end}
{p 0 4 2}
{txt}(note:  named style
dark not found in class
color,  default attributes used)
{p_end}
{p 0 4 2}
{txt}(note:  named style
dark not found in class
color,  default attributes used)
{p_end}
{p 0 4 2}
{txt}(note:  named style
dark not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. graph save "$outfile", replace
{txt}(note: file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\Figure 4.gph not found)
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results\Figure 4.gph saved)

{com}. 
{txt}end of do-file

{com}. 
. do "$analyze\Figure A1. Distributions.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results/Figure A1"
{txt}
{com}. 
. 
. * Create data with alternative functional forms
. 
. use "$infile", clear
{txt}
{com}. 
. sum water if water != 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}    225,882    76.88465    90.23726   .1428571       3173
{txt}
{com}. sum water, d

                            {txt}water
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res} 1.428571              0
{txt}10%    {res} 8.571428              0       {txt}Obs         {res}    235,700
{txt}25%    {res} 24.28572              0       {txt}Sum of Wgt. {res}    235,700

{txt}50%    {res}       50                      {txt}Mean          {res} 73.68204
                        {txt}Largest       Std. Dev.     {res} 89.66355
{txt}75%    {res} 92.28571           1760
{txt}90%    {res}      160       1798.571       {txt}Variance      {res} 8039.552
{txt}95%    {res} 218.5714       1805.714       {txt}Skewness      {res} 5.190169
{txt}99%    {res} 402.8571           3173       {txt}Kurtosis      {res} 56.54226
{txt}
{com}. display sqrt(24.28572/92.28571)
{res}.51298925
{txt}
{com}. 
. gen logwater01 = log(water+0.1)
{txt}
{com}. gen logwater10 = log(water+10)
{txt}
{com}. 
. gen invwater01 = asinh(water*0.1)
{txt}
{com}. gen invwater = asinh(water)
{txt}
{com}. gen invwater10 = asinh(water*10)
{txt}
{com}. 
. egen watermh = mean(water), by(home)
{txt}
{com}. egen waterm = mean(watermh), by(home)
{txt}
{com}. 
. gen waternorm = water/waterm
{txt}
{com}. 
. save "Temp", replace
{txt}(note: file Temp.dta not found)
file Temp.dta saved

{com}. 
. drop if week2 >= 34
{txt}(161,710 observations deleted)

{com}. 
. save "Temp2", replace
{txt}(note: file Temp2.dta not found)
file Temp2.dta saved

{com}. 
. 
. * Figure A1
. 
. replace water = 500 if water > 500
{txt}(660 real changes made)

{com}. hist water, ylab(,nolab) ylab(,notick) xti(Use (liters)) ///
> ti(A. Absolute use in levels) graphregion(color(white)) 
{txt}(bin={res}48{txt}, start={res}0{txt}, width={res}10.416667{txt})
{res}{txt}
{com}. graph save "TempA", replace
{txt}(note: file TempA.gph not found)
{res}{txt}(file TempA.gph saved)

{com}. hist logwater10, ylab(,nolab) ylab(,notick) xti(Log(liters+10)) ///
> ti(B. Log(use+10)) graphregion(color(white)) 
{txt}(bin={res}48{txt}, start={res}2.3025851{txt}, width={res}.12006238{txt})
{res}{txt}
{com}. graph save "TempB", replace
{txt}(note: file TempB.gph not found)
{res}{txt}(file TempB.gph saved)

{com}. hist logwater, ylab(,nolab) ylab(,notick) xti(Log(liters+1)) ///
> ti(C. Log(use+1)) graphregion(color(white)) 
{txt}(bin={res}48{txt}, start={res}0{txt}, width={res}.16797392{txt})
{res}{txt}
{com}. graph save "TempC", replace
{txt}(note: file TempC.gph not found)
{res}{txt}(file TempC.gph saved)

{com}. hist logwater01, ylab(,nolab) ylab(,notick) xti(Log(liters+0.1)) ///
> ti(D. Log(use+0.1)) graphregion(color(white)) 
{txt}(bin={res}48{txt}, start={res}-2.3025851{txt}, width={res}.21593854{txt})
{res}{txt}
{com}. graph save "TempD", replace
{txt}(note: file TempD.gph not found)
{res}{txt}(file TempD.gph saved)

{com}. 
. graph combine "TempA" "TempB" "TempC" "TempD", graphregion(color(white)) 
{res}{txt}
{com}. 
. graph save "$outfile", replace
{txt}(note: file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results/Figure A1.gph not found)
{res}{txt}(file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Results/Figure A1.gph saved)

{com}. 
{txt}end of do-file

{com}. 
. do "$analyze\Table 1. Observations.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. 
.          
. * Desc stat, weeks with more than seven days
. 
. use "DataDaily", clear
{txt}
{com}. keep if home == 31
{txt}(1,648,162 observations deleted)

{com}. keep if (year == 2012 & moy == 12) | (year == 2013 & moy == 1)
{txt}(3,164 observations deleted)

{com}. sort date
{txt}
{com}. tab week

       {txt}week {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         22 {c |}{res}          7       11.86       11.86
{txt}         23 {c |}{res}          7       11.86       23.73
{txt}         24 {c |}{res}          7       11.86       35.59
{txt}         25 {c |}{res}          9       15.25       50.85
{txt}         26 {c |}{res}          8       13.56       64.41
{txt}         27 {c |}{res}          7       11.86       76.27
{txt}         28 {c |}{res}          7       11.86       88.14
{txt}         29 {c |}{res}          7       11.86      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         59      100.00
{txt}
{com}. keep if week == 25 | week == 26
{txt}(42 observations deleted)

{com}. 
. 
. * Table 1 observation statistics
. 
. use "$infile", clear
{txt}
{com}. drop if dupindicator == 1
{txt}(89,400 observations deleted)

{com}. 
. unique(home)
{txt}Number of unique values of home is  {res}583
{txt}Number of records is  {res}146300
{txt}
{com}. unique(addresslet)
{txt}Number of unique values of addresslet is  {res}82
{txt}Number of records is  {res}146300
{txt}
{com}. unique(address)
{txt}Number of unique values of address is  {res}55
{txt}Number of records is  {res}146300
{txt}
{com}. unique(block)
{txt}Number of unique values of block is  {res}31
{txt}Number of records is  {res}146300
{txt}
{com}. unique(week)
{txt}Number of unique values of week is  {res}260
{txt}Number of records is  {res}146300
{txt}
{com}. 
. forvalues i = 1(1)3 {c -(}
{txt}  2{com}.         unique(home) if cohort == `i'
{txt}  3{com}.         unique(addresslet) if cohort == `i'
{txt}  4{com}.         unique(address) if cohort == `i'
{txt}  5{com}.         unique(block) if cohort == `i'
{txt}  6{com}.         unique(week) if cohort == `i'
{txt}  7{com}. {c )-}
{txt}Number of unique values of home is  {res}447
{txt}Number of records is  {res}116220
{txt}Number of unique values of addresslet is  {res}60
{txt}Number of records is  {res}116220
{txt}Number of unique values of address is  {res}42
{txt}Number of records is  {res}116220
{txt}Number of unique values of block is  {res}22
{txt}Number of records is  {res}116220
{txt}Number of unique values of week is  {res}260
{txt}Number of records is  {res}116220
{txt}Number of unique values of home is  {res}48
{txt}Number of records is  {res}12480
{txt}Number of unique values of addresslet is  {res}4
{txt}Number of records is  {res}12480
{txt}Number of unique values of address is  {res}4
{txt}Number of records is  {res}12480
{txt}Number of unique values of block is  {res}3
{txt}Number of records is  {res}12480
{txt}Number of unique values of week is  {res}260
{txt}Number of records is  {res}12480
{txt}Number of unique values of home is  {res}88
{txt}Number of records is  {res}17600
{txt}Number of unique values of addresslet is  {res}20
{txt}Number of records is  {res}17600
{txt}Number of unique values of address is  {res}11
{txt}Number of records is  {res}17600
{txt}Number of unique values of block is  {res}8
{txt}Number of records is  {res}17600
{txt}Number of unique values of week is  {res}200
{txt}Number of records is  {res}17600
{txt}
{com}. 
{txt}end of do-file

{com}. do "$analyze\Table 2. Descriptives.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. 
.          
. * Table 2. Water statistics
. 
. use "$infile", clear
{txt}
{com}. drop if dupindicator == 1
{txt}(89,400 observations deleted)

{com}. 
. gen ch1 = (cohort == 1)
{txt}
{com}. gen ch2 = (cohort == 2)
{txt}
{com}. gen ch3 = (cohort == 3)
{txt}
{com}. 
. sum water logwater wbath wkitchen if cohort == 1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}    116,220    74.64803    84.50914          0       3173
{txt}{space 4}logwater {c |}{res}    116,220     3.77148    1.244873          0   8.062748
{txt}{space 7}wbath {c |}{res}    104,520    45.31327    61.32626          0   2925.857
{txt}{space 4}wkitchen {c |}{res}    104,520    24.91206    28.23175          0   991.4286
{txt}
{com}. sum water logwater wbath wkitchen if cohort == 1 & treat == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}     11,622    101.2784    113.2046          0   1217.143
{txt}{space 4}logwater {c |}{res}     11,622    4.090446    1.205808          0   7.105083
{txt}{space 7}wbath {c |}{res}     10,452     61.7127    82.94691          0   1192.857
{txt}{space 4}wkitchen {c |}{res}     10,452     33.6066    39.23843          0   381.4286
{txt}
{com}. sum water logwater wbath wkitchen if cohort == 1 & treat == 1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}    104,598    71.68911    80.14968          0       3173
{txt}{space 4}logwater {c |}{res}    104,598     3.73604    1.244106          0   8.062748
{txt}{space 7}wbath {c |}{res}     94,068    43.49111      58.148          0   2925.857
{txt}{space 4}wkitchen {c |}{res}     94,068      23.946    26.55562          0   991.4286
{txt}
{com}. 
. sum water logwater if cohort == 2

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}     12,480    89.65297    118.9016          0        970
{txt}{space 4}logwater {c |}{res}     12,480    3.821712    1.329861          0   6.878326
{txt}
{com}. sum water logwater if cohort == 2 & treat == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}      3,312    99.97458    128.5794          0        970
{txt}{space 4}logwater {c |}{res}      3,312     3.99318    1.275555          0   6.878326
{txt}
{com}. sum water logwater if cohort == 2 & treat == 1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}      9,168    85.92422    114.9856          0   862.8571
{txt}{space 4}logwater {c |}{res}      9,168    3.759767     1.34364          0   6.761407
{txt}
{com}. 
. sum water logwater if cohort == 3

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}     17,600    72.68093    142.8396          0   1805.714
{txt}{space 4}logwater {c |}{res}     17,600    3.630489    1.221193          0   7.499265
{txt}
{com}. sum water logwater if cohort == 3 & treat == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}        792    87.21411    147.1918          0   1542.857
{txt}{space 4}logwater {c |}{res}        792    3.948041    1.048579          0   7.342039
{txt}
{com}. sum water logwater if cohort == 3 & treat == 1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}     16,808    71.99612    142.5992          0   1805.714
{txt}{space 4}logwater {c |}{res}     16,808    3.615526    1.226729          0   7.499265
{txt}
{com}. 
. sum water logwater

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}    146,300    75.69137    96.70717          0       3173
{txt}{space 4}logwater {c |}{res}    146,300    3.758804    1.250509          0   8.062748
{txt}
{com}. sum water logwater if treat == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}     15,726    100.2955    118.5365          0   1542.857
{txt}{space 4}logwater {c |}{res}     15,726    4.062789    1.214351          0   7.342039
{txt}
{com}. sum water logwater if treat == 1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}    130,574    72.72812    93.29952          0       3173
{txt}{space 4}logwater {c |}{res}    130,574    3.722193     1.24982          0   8.062748
{txt}
{com}. 
. unique(home) if wbath != . & wkitchen != . & cohort == 1
{txt}Number of unique values of home is  {res}402
{txt}Number of records is  {res}104520
{txt}
{com}. unique(home) if wbath != . & wkitchen != . & cohort == 1
{txt}Number of unique values of home is  {res}402
{txt}Number of records is  {res}104520
{txt}
{com}. 
. 
. * F-tests water statistics
. 
. reg water ch1 ch2 ch3 if treat == 0, nocon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    15,726
{txt}{hline 13}{c +}{hline 34}   F(3, 15723)     = {res}  3758.31
{txt}       Model {c |} {res}  158337775         3  52779258.3   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  220803337    15,723  14043.3338   {txt}R-squared       ={res}    0.4176
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4175
{txt}       Total {c |} {res}  379141112    15,726  24109.1893   {txt}Root MSE        =   {res}  118.5

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       water{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ch1 {c |}{col 14}{res}{space 2} 101.2784{col 26}{space 2} 1.099245{col 37}{space 1}   92.13{col 46}{space 3}0.000{col 54}{space 4} 99.12372{col 67}{space 3}  103.433
{txt}{space 9}ch2 {c |}{col 14}{res}{space 2} 99.97458{col 26}{space 2} 2.059159{col 37}{space 1}   48.55{col 46}{space 3}0.000{col 54}{space 4} 95.93839{col 67}{space 3} 104.0108
{txt}{space 9}ch3 {c |}{col 14}{res}{space 2} 87.21411{col 26}{space 2} 4.210877{col 37}{space 1}   20.71{col 46}{space 3}0.000{col 54}{space 4}  78.9603{col 67}{space 3} 95.46791
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[ch1] == _b[ch2] = _b[ch3]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}ch1 - ch2 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} ch1 - ch3 = 0{p_end}

{txt}       F(  2, 15723) ={res}    5.24
{txt}{col 13}Prob > F ={res}    0.0053
{txt}
{com}. reg logwater ch1 ch2 ch3 if treat == 0, nocon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    15,726
{txt}{hline 13}{c +}{hline 34}   F(3, 15723)     = {res} 58765.74
{txt}       Model {c |} {res} 259612.768         3  86537.5894   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 23153.4647    15,723  1.47258568   {txt}R-squared       ={res}    0.9181
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.9181
{txt}       Total {c |} {res} 282766.233    15,726  17.9808109   {txt}Root MSE        =   {res} 1.2135

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ch1 {c |}{col 14}{res}{space 2} 4.090446{col 26}{space 2} .0112564{col 37}{space 1}  363.39{col 46}{space 3}0.000{col 54}{space 4} 4.068382{col 67}{space 3}  4.11251
{txt}{space 9}ch2 {c |}{col 14}{res}{space 2}  3.99318{col 26}{space 2}  .021086{col 37}{space 1}  189.38{col 46}{space 3}0.000{col 54}{space 4} 3.951849{col 67}{space 3} 4.034511
{txt}{space 9}ch3 {c |}{col 14}{res}{space 2} 3.948041{col 26}{space 2} .0431199{col 37}{space 1}   91.56{col 46}{space 3}0.000{col 54}{space 4} 3.863521{col 67}{space 3} 4.032561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[ch1] == _b[ch2] = _b[ch3]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}ch1 - ch2 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} ch1 - ch3 = 0{p_end}

{txt}       F(  2, 15723) ={res}   12.01
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
. reg water ch1 ch2 ch3, nocon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}   146,300
{txt}{hline 13}{c +}{hline 34}   F(3, 146297)    = {res} 30030.51
{txt}       Model {c |} {res}  840898327         3   280299442   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1.3655e+09   146,297  9333.82198   {txt}R-squared       ={res}    0.3811
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3811
{txt}       Total {c |} {res} 2.2064e+09   146,300  15081.3977   {txt}Root MSE        =   {res} 96.612

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       water{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ch1 {c |}{col 14}{res}{space 2} 74.64803{col 26}{space 2} .2833931{col 37}{space 1}  263.41{col 46}{space 3}0.000{col 54}{space 4} 74.09259{col 67}{space 3} 75.20348
{txt}{space 9}ch2 {c |}{col 14}{res}{space 2} 89.65297{col 26}{space 2} .8648135{col 37}{space 1}  103.67{col 46}{space 3}0.000{col 54}{space 4} 87.95795{col 67}{space 3} 91.34799
{txt}{space 9}ch3 {c |}{col 14}{res}{space 2} 72.68093{col 26}{space 2} .7282381{col 37}{space 1}   99.80{col 46}{space 3}0.000{col 54}{space 4}  71.2536{col 67}{space 3} 74.10827
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[ch1] == _b[ch2] = _b[ch3]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}ch1 - ch2 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} ch1 - ch3 = 0{p_end}

{txt}       F(  2,146297) ={res}  145.64
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. reg logwater ch1 ch2 ch3, nocon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}   146,300
{txt}{hline 13}{c +}{hline 34}   F(3, 146297)    > {res} 99999.00
{txt}       Model {c |} {res} 2067373.04         3  689124.346   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  228420.62   146,297  1.56134863   {txt}R-squared       ={res}    0.9005
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.9005
{txt}       Total {c |} {res} 2295793.66   146,300  15.6923695   {txt}Root MSE        =   {res} 1.2495

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ch1 {c |}{col 14}{res}{space 2}  3.77148{col 26}{space 2} .0036653{col 37}{space 1} 1028.97{col 46}{space 3}0.000{col 54}{space 4} 3.764296{col 67}{space 3} 3.778664
{txt}{space 9}ch2 {c |}{col 14}{res}{space 2} 3.821712{col 26}{space 2} .0111852{col 37}{space 1}  341.68{col 46}{space 3}0.000{col 54}{space 4} 3.799789{col 67}{space 3} 3.843634
{txt}{space 9}ch3 {c |}{col 14}{res}{space 2} 3.630489{col 26}{space 2} .0094188{col 37}{space 1}  385.45{col 46}{space 3}0.000{col 54}{space 4} 3.612028{col 67}{space 3} 3.648949
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[ch1] == _b[ch2] = _b[ch3]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}ch1 - ch2 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} ch1 - ch3 = 0{p_end}

{txt}       F(  2,146297) ={res}  114.59
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
. 
. * Table 2. Apartment characteristics
. 
. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(145,717 observations deleted)

{com}. 
. tab rooms 

     {txt}n_room {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         90       15.93       15.93
{txt}          2 {c |}{res}        259       45.84       61.77
{txt}          3 {c |}{res}        179       31.68       93.45
{txt}          4 {c |}{res}         29        5.13       98.58
{txt}          5 {c |}{res}          7        1.24       99.82
{txt}          6 {c |}{res}          1        0.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        565      100.00
{txt}
{com}. sum rent, d

                            {txt}rent
{hline 61}
      Percentiles      Smallest
 1%    {res} 739.7964       621.2895
{txt} 5%    {res} 762.0988       683.5449
{txt}10%    {res} 779.0151       702.2395       {txt}Obs         {res}        565
{txt}25%    {res} 835.0331       723.5275       {txt}Sum of Wgt. {res}        565

{txt}50%    {res} 936.8793                      {txt}Mean          {res} 939.8723
                        {txt}Largest       Std. Dev.     {res}  127.237
{txt}75%    {res} 1025.616       1254.948
{txt}90%    {res} 1091.073       1254.948       {txt}Variance      {res} 16189.26
{txt}95%    {res} 1164.857       1273.804       {txt}Skewness      {res} .3697563
{txt}99%    {res} 1254.948           1326       {txt}Kurtosis      {res} 2.511171
{txt}
{com}. 
. drop if rooms == . | m2 == . | rent == .
{txt}(18 observations deleted)

{com}. unique(home)
{txt}Number of unique values of home is  {res}565
{txt}Number of records is  {res}565
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(0 observations are duplicates)

{com}. sum rooms m2 rent

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}rooms {c |}{res}        565    2.304425    .8543163          1          6
{txt}{space 10}m2 {c |}{res}        565    65.08832    19.08804       23.5        198
{txt}{space 8}rent {c |}{res}        565    939.8723     127.237   621.2895       1326
{txt}
{com}. sum rooms m2 rent if cohort == 1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}rooms {c |}{res}        442     2.19457    .8237778          1          5
{txt}{space 10}m2 {c |}{res}        442    61.56199    15.96783       23.5        112
{txt}{space 8}rent {c |}{res}        442    901.0437    105.2072   621.2895   1245.447
{txt}
{com}. sum rooms m2 rent if cohort == 2

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}rooms {c |}{res}         43    2.906977    1.019196          1          6
{txt}{space 10}m2 {c |}{res}         43    80.74419     27.3525         36        198
{txt}{space 8}rent {c |}{res}         43    1043.104    61.86647      753.5   1195.444
{txt}
{com}. sum rooms m2 rent if cohort == 3

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}rooms {c |}{res}         80      2.5875    .7238041          1          4
{txt}{space 10}m2 {c |}{res}         80    76.15625    21.28597       28.5        133
{txt}{space 8}rent {c |}{res}         80    1098.913    109.1162   808.6198       1326
{txt}
{com}. 
. 
. * F-tests apartment characteristics
. 
. reg rooms ch1 ch2 ch3, nocon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       565
{txt}{hline 13}{c +}{hline 34}   F(3, 562)       = {res}  1475.98
{txt}       Model {c |} {res} 3027.71762         3  1009.23921   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 384.282375       562  .683776469   {txt}R-squared       ={res}    0.8874
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.8868
{txt}       Total {c |} {res}       3412       565  6.03893805   {txt}Root MSE        =   {res} .82691

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       rooms{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ch1 {c |}{col 14}{res}{space 2}  2.19457{col 26}{space 2}  .039332{col 37}{space 1}   55.80{col 46}{space 3}0.000{col 54}{space 4} 2.117314{col 67}{space 3} 2.271826
{txt}{space 9}ch2 {c |}{col 14}{res}{space 2} 2.906977{col 26}{space 2} .1261023{col 37}{space 1}   23.05{col 46}{space 3}0.000{col 54}{space 4} 2.659287{col 67}{space 3} 3.154666
{txt}{space 9}ch3 {c |}{col 14}{res}{space 2}   2.5875{col 26}{space 2} .0924511{col 37}{space 1}   27.99{col 46}{space 3}0.000{col 54}{space 4} 2.405908{col 67}{space 3} 2.769092
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[ch1] == _b[ch2] = _b[ch3]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}ch1 - ch2 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} ch1 - ch3 = 0{p_end}

{txt}       F(  2,   562) ={res}   20.00
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. reg m2 ch1 ch2 ch3, nocon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       565
{txt}{hline 13}{c +}{hline 34}   F(3, 562)       = {res}  2522.80
{txt}       Model {c |} {res} 2419452.17         3  806484.055   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 179659.404       562  319.678655   {txt}R-squared       ={res}    0.9309
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.9305
{txt}       Total {c |} {res} 2599111.57       565  4600.19747   {txt}Root MSE        =   {res}  17.88

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          m2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ch1 {c |}{col 14}{res}{space 2} 61.56199{col 26}{space 2} .8504439{col 37}{space 1}   72.39{col 46}{space 3}0.000{col 54}{space 4} 59.89155{col 67}{space 3} 63.23243
{txt}{space 9}ch2 {c |}{col 14}{res}{space 2} 80.74419{col 26}{space 2} 2.726607{col 37}{space 1}   29.61{col 46}{space 3}0.000{col 54}{space 4}  75.3886{col 67}{space 3} 86.09977
{txt}{space 9}ch3 {c |}{col 14}{res}{space 2} 76.15625{col 26}{space 2} 1.998996{col 37}{space 1}   38.10{col 46}{space 3}0.000{col 54}{space 4} 72.22983{col 67}{space 3} 80.08267
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[ch1] == _b[ch2] = _b[ch3]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}ch1 - ch2 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} ch1 - ch3 = 0{p_end}

{txt}       F(  2,   562) ={res}   40.41
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. reg rent ch1 ch2 ch3, nocon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       565
{txt}{hline 13}{c +}{hline 34}   F(3, 562)       = {res} 15726.88
{txt}       Model {c |} {res}  502246537         3   167415512   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 5982591.32       562  10645.1803   {txt}R-squared       ={res}    0.9882
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.9882
{txt}       Total {c |} {res}  508229128       565  899520.581   {txt}Root MSE        =   {res} 103.18

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        rent{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ch1 {c |}{col 14}{res}{space 2} 901.0437{col 26}{space 2} 4.907557{col 37}{space 1}  183.60{col 46}{space 3}0.000{col 54}{space 4} 891.4043{col 67}{space 3} 910.6831
{txt}{space 9}ch2 {c |}{col 14}{res}{space 2} 1043.104{col 26}{space 2} 15.73411{col 37}{space 1}   66.30{col 46}{space 3}0.000{col 54}{space 4} 1012.199{col 67}{space 3} 1074.009
{txt}{space 9}ch3 {c |}{col 14}{res}{space 2} 1098.913{col 26}{space 2} 11.53537{col 37}{space 1}   95.26{col 46}{space 3}0.000{col 54}{space 4} 1076.256{col 67}{space 3} 1121.571
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[ch1] == _b[ch2] = _b[ch3]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}ch1 - ch2 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} ch1 - ch3 = 0{p_end}

{txt}       F(  2,   562) ={res}  147.87
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
{txt}end of do-file

{com}. do "$analyze\Table 3. Main.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results/Table 3"
{txt}
{com}. 
. 
. * Table 3A. Before-after estimates
. 
. use "$infile", clear 
{txt}
{com}. keep if treated == 1
{txt}(181,680 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    54,020
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       583

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0357{col 63}{txt}min{col 67}={col 69}{res}        60
{txt}     between = {res}0.0126{col 63}{txt}avg{col 67}={col 69}{res}      92.7
{txt}     overall = {res}0.0219{col 63}{txt}max{col 67}={col 69}{res}       200

{txt}{col 49}F({res}12{txt},{res}582{txt}){col 67}={col 70}{res}    19.30
{txt}corr(u_i, Xb){col 16}= {res}0.0231{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2113979{col 26}{space 2} .0329128{col 37}{space 1}   -6.42{col 46}{space 3}0.000{col 54}{space 4}-.2760403{col 67}{space 3}-.1467556
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0504256{col 26}{space 2} .0157248{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} .0195413{col 67}{space 3} .0813098
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0691318{col 26}{space 2} .0244868{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .0210385{col 67}{space 3} .1172251
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0649466{col 26}{space 2} .0253883{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .0150828{col 67}{space 3} .1148105
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0296011{col 26}{space 2} .0277211{col 37}{space 1}   -1.07{col 46}{space 3}0.286{col 54}{space 4}-.0840467{col 67}{space 3} .0248445
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1864888{col 26}{space 2}     .034{col 37}{space 1}   -5.48{col 46}{space 3}0.000{col 54}{space 4}-.2532664{col 67}{space 3}-.1197111
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3096621{col 26}{space 2} .0422448{col 37}{space 1}   -7.33{col 46}{space 3}0.000{col 54}{space 4} -.392633{col 67}{space 3}-.2266913
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2207298{col 26}{space 2} .0364658{col 37}{space 1}   -6.05{col 46}{space 3}0.000{col 54}{space 4}-.2923505{col 67}{space 3}-.1491091
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1057019{col 26}{space 2} .0305546{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-.1657126{col 67}{space 3}-.0456911
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0284584{col 26}{space 2} .0260676{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4}-.0796564{col 67}{space 3} .0227397
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0186547{col 26}{space 2} .0262862{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4} -.070282{col 67}{space 3} .0329726
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0058966{col 26}{space 2} .0229337{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-.0509395{col 67}{space 3} .0391464
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.021188{col 26}{space 2} .0303205{col 37}{space 1}  132.62{col 46}{space 3}0.000{col 54}{space 4} 3.961637{col 67}{space 3} 4.080739
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .91823225
     {txt}sigma_e {c |} {res} .82149529
         {txt}rho {c |} {res} .55543327{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. leveleffects
{txt}(0 observations deleted)
(41,174 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -19.10923    21.66555  -237.7375  -.3417768
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word replace ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.txt""':seeout}

{com}. 
. use "$infile", clear 
{txt}
{com}. keep if treated == 1 & dataset == 1
{txt}(208,880 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    26,820
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       447

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0391{col 63}{txt}min{col 67}={col 69}{res}        60
{txt}     between = {res}     .{col 63}{txt}avg{col 67}={col 69}{res}      60.0
{txt}     overall = {res}0.0189{col 63}{txt}max{col 67}={col 69}{res}        60

{txt}{col 49}F({res}12{txt},{res}446{txt}){col 67}={col 70}{res}    12.11
{txt}corr(u_i, Xb){col 16}= {res}0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:447} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2345928{col 26}{space 2}  .048181{col 37}{space 1}   -4.87{col 46}{space 3}0.000{col 54}{space 4}-.3292828{col 67}{space 3}-.1399029
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0650464{col 26}{space 2} .0209447{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .0238838{col 67}{space 3} .1062089
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0903956{col 26}{space 2} .0329123{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0257132{col 67}{space 3} .1550779
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0862648{col 26}{space 2} .0383433{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .0109088{col 67}{space 3} .1616208
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0391847{col 26}{space 2} .0455837{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4}-.1287703{col 67}{space 3} .0504008
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1943972{col 26}{space 2} .0534761{col 37}{space 1}   -3.64{col 46}{space 3}0.000{col 54}{space 4}-.2994935{col 67}{space 3}-.0893008
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2029587{col 26}{space 2} .0573486{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4}-.3156658{col 67}{space 3}-.0902517
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.1814802{col 26}{space 2} .0547719{col 37}{space 1}   -3.31{col 46}{space 3}0.001{col 54}{space 4}-.2891232{col 67}{space 3}-.0738372
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0756545{col 26}{space 2} .0458475{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4}-.1657585{col 67}{space 3} .0144495
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0068155{col 26}{space 2} .0399564{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-.0853418{col 67}{space 3} .0717107
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0048395{col 26}{space 2} .0384334{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.0706935{col 67}{space 3} .0803726
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0002521{col 26}{space 2} .0329448{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-.0649983{col 67}{space 3} .0644941
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.088201{col 26}{space 2} .0346791{col 37}{space 1}  117.89{col 46}{space 3}0.000{col 54}{space 4} 4.020047{col 67}{space 3} 4.156356
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .89606387
     {txt}sigma_e {c |} {res}  .8536593
         {txt}rho {c |} {res} .52422079{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. leveleffects
{txt}(0 observations deleted)
(15,198 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(11,175 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        447    101.2784     105.721   1.043956   1028.077

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        447   -21.38714    22.10701  -215.1874  -.4274059
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.txt""':seeout}

{com}. 
. use "$infile", clear 
{txt}
{com}. keep if treated == 1 & dataset == 2
{txt}(226,100 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,600
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}        48

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0375{col 63}{txt}min{col 67}={col 69}{res}       200
{txt}     between = {res}     .{col 63}{txt}avg{col 67}={col 69}{res}     200.0
{txt}     overall = {res}0.0176{col 63}{txt}max{col 67}={col 69}{res}       200

{txt}{col 49}F({res}12{txt},{res}47{txt}){col 67}={col 70}{res}     3.43
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0012

{txt}{ralign 78:(Std. Err. adjusted for {res:48} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2738255{col 26}{space 2} .1019498{col 37}{space 1}   -2.69{col 46}{space 3}0.010{col 54}{space 4} -.478922{col 67}{space 3}-.0687289
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0315701{col 26}{space 2} .0399017{col 37}{space 1}    0.79{col 46}{space 3}0.433{col 54}{space 4}-.0487018{col 67}{space 3} .1118421
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0353266{col 26}{space 2} .0729939{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.1821713{col 67}{space 3} .1115181
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0249157{col 26}{space 2}  .068671{col 37}{space 1}    0.36{col 46}{space 3}0.718{col 54}{space 4}-.1132326{col 67}{space 3} .1630641
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0161156{col 26}{space 2}  .067343{col 37}{space 1}   -0.24{col 46}{space 3}0.812{col 54}{space 4}-.1515923{col 67}{space 3} .1193611
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2567519{col 26}{space 2} .0927034{col 37}{space 1}   -2.77{col 46}{space 3}0.008{col 54}{space 4} -.443247{col 67}{space 3}-.0702567
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.5056875{col 26}{space 2}  .125373{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.7579055{col 67}{space 3}-.2534695
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.3144034{col 26}{space 2} .0983241{col 37}{space 1}   -3.20{col 46}{space 3}0.002{col 54}{space 4} -.512206{col 67}{space 3}-.1166009
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1673338{col 26}{space 2} .0812478{col 37}{space 1}   -2.06{col 46}{space 3}0.045{col 54}{space 4}-.3307832{col 67}{space 3}-.0038843
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0448275{col 26}{space 2} .0608975{col 37}{space 1}   -0.74{col 46}{space 3}0.465{col 54}{space 4}-.1673374{col 67}{space 3} .0776825
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0532261{col 26}{space 2} .0623417{col 37}{space 1}   -0.85{col 46}{space 3}0.398{col 54}{space 4}-.1786414{col 67}{space 3} .0721893
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0382936{col 26}{space 2} .0609868{col 37}{space 1}   -0.63{col 46}{space 3}0.533{col 54}{space 4}-.1609832{col 67}{space 3}  .084396
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.159089{col 26}{space 2}  .102342{col 37}{space 1}   40.64{col 46}{space 3}0.000{col 54}{space 4} 3.953204{col 67}{space 3} 4.364975
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .98282877
     {txt}sigma_e {c |} {res} .89894806
         {txt}rho {c |} {res} .54448688{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. leveleffects
{txt}(0 observations deleted)
(9,168 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(384 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}         48    102.8588    119.3358   2.857143   688.2064

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}         48   -24.87784    28.58513  -165.0892  -.9239215
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.txt""':seeout}

{com}. 
. use "$infile", clear 
{txt}
{com}. keep if treated == 1 & dataset == 3
{txt}(218,100 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    17,600
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}        88

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0321{col 63}{txt}min{col 67}={col 69}{res}       200
{txt}     between = {res}0.0000{col 63}{txt}avg{col 67}={col 69}{res}     200.0
{txt}     overall = {res}0.0115{col 63}{txt}max{col 67}={col 69}{res}       200

{txt}{col 49}F({res}12{txt},{res}87{txt}){col 67}={col 70}{res}     7.30
{txt}corr(u_i, Xb){col 16}= {res}0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:88} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2090467{col 26}{space 2} .0592157{col 37}{space 1}   -3.53{col 46}{space 3}0.001{col 54}{space 4}-.3267444{col 67}{space 3}-.0913491
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0159957{col 26}{space 2} .0269618{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4}-.0375937{col 67}{space 3} .0695851
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .046276{col 26}{space 2} .0285255{col 37}{space 1}    1.62{col 46}{space 3}0.108{col 54}{space 4}-.0104215{col 67}{space 3} .1029735
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0087481{col 26}{space 2} .0297052{col 37}{space 1}    0.29{col 46}{space 3}0.769{col 54}{space 4}-.0502941{col 67}{space 3} .0677904
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0670849{col 26}{space 2} .0406977{col 37}{space 1}   -1.65{col 46}{space 3}0.103{col 54}{space 4}-.1479759{col 67}{space 3} .0138061
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1838068{col 26}{space 2} .0517385{col 37}{space 1}   -3.55{col 46}{space 3}0.001{col 54}{space 4}-.2866427{col 67}{space 3} -.080971
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3476429{col 26}{space 2} .0635007{col 37}{space 1}   -5.47{col 46}{space 3}0.000{col 54}{space 4}-.4738574{col 67}{space 3}-.2214284
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2352434{col 26}{space 2} .0578889{col 37}{space 1}   -4.06{col 46}{space 3}0.000{col 54}{space 4} -.350304{col 67}{space 3}-.1201829
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1253815{col 26}{space 2} .0437772{col 37}{space 1}   -2.86{col 46}{space 3}0.005{col 54}{space 4}-.2123935{col 67}{space 3}-.0383696
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0609903{col 26}{space 2} .0357982{col 37}{space 1}   -1.70{col 46}{space 3}0.092{col 54}{space 4}-.1321431{col 67}{space 3} .0101625
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0456755{col 26}{space 2} .0378973{col 37}{space 1}   -1.21{col 46}{space 3}0.231{col 54}{space 4}-.1210004{col 67}{space 3} .0296494
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0105337{col 26}{space 2} .0312582{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.0726627{col 67}{space 3} .0515953
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.918444{col 26}{space 2} .0575888{col 37}{space 1}   68.04{col 46}{space 3}0.000{col 54}{space 4}  3.80398{col 67}{space 3} 4.032908
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .98437403
     {txt}sigma_e {c |} {res} .72048454
         {txt}rho {c |} {res} .65116498{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. leveleffects
{txt}(0 observations deleted)
(16,808 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(704 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}         88     87.2141    146.0053   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}         88   -16.64094    27.54283  -235.3602  -.3383591
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.txt""':seeout}

{com}. 
. 
. * Table 3B. Diff-in-diff estimates
. 
. use "$infile", clear
{txt}
{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     13.89
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0002
{txt}{col 51}R-squared{col 67}= {res}    0.5070
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5028
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.8794

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1950236{col 26}{space 2} .0523194{col 37}{space 1}   -3.73{col 46}{space 3}0.000{col 54}{space 4}-.2977814{col 67}{space 3}-.0922659
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.927971{col 26}{space 2} .0488286{col 37}{space 1}   80.44{col 46}{space 3}0.000{col 54}{space 4} 3.832069{col 67}{space 3} 4.023873
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(181,680 observations deleted)
(41,174 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -17.76908    20.14612  -221.0648  -.3178077
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.txt""':seeout}

{com}. 
. use "$infile", clear
{txt}
{com}. keep if dataset == 1
{txt}(206,000 observations deleted)

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    29,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    494{txt}){col 67}= {res}      4.73
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0301
{txt}{col 51}R-squared{col 67}= {res}    0.5483
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5397
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0010
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       495{txt}{col 51}Root MSE{col 67}= {res}    0.8479

{txt}{ralign 78:(Std. Err. adjusted for {res:495} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1823153{col 26}{space 2} .0838176{col 37}{space 1}   -2.18{col 46}{space 3}0.030{col 54}{space 4}-.3469982{col 67}{space 3}-.0176324
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.024075{col 26}{space 2} .0428909{col 37}{space 1}   93.82{col 46}{space 3}0.000{col 54}{space 4} 3.939804{col 67}{space 3} 4.108346
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      495{col 27}{space 1}      495{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}       60{col 27}{space 1}        0{col 39}{result}{space 1}       60{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(2,880 observations deleted)
(15,198 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(11,175 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        447    101.2784     105.721   1.043956   1028.077

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        447   -17.04586    17.61961  -171.5075  -.3406487
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.txt""':seeout}

{com}. 
. use "$infile", clear
{txt}
{com}. keep if dataset == 2
{txt}(136,700 observations deleted)

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    99,000
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    494{txt}){col 67}= {res}      6.77
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0095
{txt}{col 51}R-squared{col 67}= {res}    0.4885
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4849
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       495{txt}{col 51}Root MSE{col 67}= {res}    0.8977

{txt}{ralign 78:(Std. Err. adjusted for {res:495} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} -.239752{col 26}{space 2} .0921263{col 37}{space 1}   -2.60{col 46}{space 3}0.010{col 54}{space 4}-.4207597{col 67}{space 3}-.0587443
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.968728{col 26}{space 2} .0917243{col 37}{space 1}   43.27{col 46}{space 3}0.000{col 54}{space 4}  3.78851{col 67}{space 3} 4.148946
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      495{col 27}{space 1}      495{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      200{col 27}{space 1}        0{col 39}{result}{space 1}      200{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(89,400 observations deleted)
(9,168 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(384 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}         48    102.8588    119.3358   2.857143   688.2064

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}         48   -22.14031    25.43965   -146.923  -.8222542
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.txt""':seeout}

{com}. 
. use "$infile", clear
{txt}
{com}. keep if dataset == 3
{txt}(128,700 observations deleted)

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   107,000
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    534{txt}){col 67}= {res}      7.54
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0063
{txt}{col 51}R-squared{col 67}= {res}    0.5092
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5058
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       535{txt}{col 51}Root MSE{col 67}= {res}    0.8708

{txt}{ralign 78:(Std. Err. adjusted for {res:535} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1814974{col 26}{space 2} .0661143{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4}-.3113734{col 67}{space 3}-.0516214
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.889558{col 26}{space 2} .0656249{col 37}{space 1}   59.27{col 46}{space 3}0.000{col 54}{space 4} 3.760643{col 67}{space 3} 4.018473
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      535{col 27}{space 1}      535{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      200{col 27}{space 1}        0{col 39}{result}{space 1}      200{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(89,400 observations deleted)
(16,808 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(704 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}         88     87.2141    146.0053   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}         88   -14.64174     24.2339  -207.0846  -.2977094
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 3.txt""':seeout}

{com}. 
{txt}end of do-file

{com}. do "$analyze\Table 4. Binned.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results\Table 4"
{txt}
{com}. 
. 
. * Create binned event dummies
. 
. use "$infile", clear
{txt}
{com}. 
. gen epre = 0 
{txt}
{com}. gen eant = 0 
{txt}
{com}. gen epost = 0 
{txt}
{com}. replace epre = 1 if cohort == 1 & week <= -6 & dataset == 1
{txt}(9,387 real changes made)

{com}. replace eant = 1 if cohort == 1 & week >= -4 & week <= -1 & dataset == 1
{txt}(1,788 real changes made)

{com}. replace epost = 1 if cohort == 1 & week >= 0 & dataset == 1
{txt}(15,198 real changes made)

{com}. replace epre = 1 if cohort == 2 & week2 <= -6 & dataset == 2
{txt}(192 real changes made)

{com}. replace eant = 1 if cohort == 2 & week2 >= -4 & week2 <= -1 & dataset == 2
{txt}(192 real changes made)

{com}. replace epost = 1 if cohort == 2 & week2 >= 0 & dataset == 2
{txt}(9,168 real changes made)

{com}. replace epre = 1 if cohort == 3 & week2 <= -6 & dataset == 3
{txt}(352 real changes made)

{com}. replace eant = 1 if cohort == 3 & week2 >= -4 & week2 <= -1 & dataset == 3
{txt}(352 real changes made)

{com}. replace epost = 1 if cohort == 3 & week2 >= 0 & dataset == 3
{txt}(16,808 real changes made)

{com}. 
. 
. * Table 4. Binned event estimates
. 
. reghdfe logwater epre eant epost, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   3{txt},{res}    582{txt}){col 67}= {res}      4.65
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0032
{txt}{col 51}R-squared{col 67}= {res}    0.5070
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5028
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.8794

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}epre {c |}{col 14}{res}{space 2} .0006388{col 26}{space 2}  .063542{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-.1241608{col 67}{space 3} .1254385
{txt}{space 8}eant {c |}{col 14}{res}{space 2}-.0085676{col 26}{space 2} .0451737{col 37}{space 1}   -0.19{col 46}{space 3}0.850{col 54}{space 4}-.0972909{col 67}{space 3} .0801558
{txt}{space 7}epost {c |}{col 14}{res}{space 2}-.1974897{col 26}{space 2} .0678117{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-.3306752{col 67}{space 3}-.0643042
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.780516{col 26}{space 2}    .0138{col 37}{space 1}  273.95{col 46}{space 3}0.000{col 54}{space 4} 3.753413{col 67}{space 3}  3.80762
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", keep(epre eant epost) nocon 2aster dec(3) word replace
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.txt""':seeout}

{com}. reghdfe logwater epre eant epost if dataset == 1, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    29,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   3{txt},{res}    494{txt}){col 67}= {res}      2.29
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0773
{txt}{col 51}R-squared{col 67}= {res}    0.5483
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5396
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0010
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       495{txt}{col 51}Root MSE{col 67}= {res}    0.8479

{txt}{ralign 78:(Std. Err. adjusted for {res:495} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}epre {c |}{col 14}{res}{space 2} .0377059{col 26}{space 2} .1105681{col 37}{space 1}    0.34{col 46}{space 3}0.733{col 54}{space 4}-.1795358{col 67}{space 3} .2549475
{txt}{space 8}eant {c |}{col 14}{res}{space 2} .0550383{col 26}{space 2} .0554983{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4}-.0540034{col 67}{space 3} .1640801
{txt}{space 7}epost {c |}{col 14}{res}{space 2}-.1433932{col 26}{space 2} .1149463{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4} -.369237{col 67}{space 3} .0824507
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.988927{col 26}{space 2} .0869405{col 37}{space 1}   45.88{col 46}{space 3}0.000{col 54}{space 4} 3.818108{col 67}{space 3} 4.159746
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      495{col 27}{space 1}      495{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}       60{col 27}{space 1}        0{col 39}{result}{space 1}       60{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", keep(epre eant epost) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.txt""':seeout}

{com}. reghdfe logwater epre eant epost if dataset == 2, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    99,000
{txt}Absorbing 2 HDFE groups{col 51}F({res}   3{txt},{res}    494{txt}){col 67}= {res}      2.34
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0728
{txt}{col 51}R-squared{col 67}= {res}    0.4885
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4849
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       495{txt}{col 51}Root MSE{col 67}= {res}    0.8977

{txt}{ralign 78:(Std. Err. adjusted for {res:495} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}epre {c |}{col 14}{res}{space 2}-.0050411{col 26}{space 2} .0681847{col 37}{space 1}   -0.07{col 46}{space 3}0.941{col 54}{space 4}-.1390089{col 67}{space 3} .1289267
{txt}{space 8}eant {c |}{col 14}{res}{space 2}-.0198119{col 26}{space 2} .0729024{col 37}{space 1}   -0.27{col 46}{space 3}0.786{col 54}{space 4}-.1630489{col 67}{space 3} .1234252
{txt}{space 7}epost {c |}{col 14}{res}{space 2}-.2507978{col 26}{space 2} .1076227{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-.4622525{col 67}{space 3} -.039343
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.753296{col 26}{space 2} .0100996{col 37}{space 1}  371.63{col 46}{space 3}0.000{col 54}{space 4} 3.733453{col 67}{space 3}  3.77314
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      495{col 27}{space 1}      495{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      200{col 27}{space 1}        0{col 39}{result}{space 1}      200{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", keep(epre eant epost) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.txt""':seeout}

{com}. reghdfe logwater epre eant epost if dataset == 3, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   107,000
{txt}Absorbing 2 HDFE groups{col 51}F({res}   3{txt},{res}    534{txt}){col 67}= {res}      2.86
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0364
{txt}{col 51}R-squared{col 67}= {res}    0.5092
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5058
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       535{txt}{col 51}Root MSE{col 67}= {res}    0.8708

{txt}{ralign 78:(Std. Err. adjusted for {res:535} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}epre {c |}{col 14}{res}{space 2} .0091985{col 26}{space 2} .0588531{col 37}{space 1}    0.16{col 46}{space 3}0.876{col 54}{space 4}-.1064135{col 67}{space 3} .1248105
{txt}{space 8}eant {c |}{col 14}{res}{space 2}-.0394364{col 26}{space 2}  .072055{col 37}{space 1}   -0.55{col 46}{space 3}0.584{col 54}{space 4}-.1809824{col 67}{space 3} .1021095
{txt}{space 7}epost {c |}{col 14}{res}{space 2}-.1949365{col 26}{space 2} .0911715{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}-.3740353{col 67}{space 3}-.0158377
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.740125{col 26}{space 2} .0145999{col 37}{space 1}  256.17{col 46}{space 3}0.000{col 54}{space 4} 3.711445{col 67}{space 3} 3.768805
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      535{col 27}{space 1}      535{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      200{col 27}{space 1}        0{col 39}{result}{space 1}      200{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", keep(epre eant epost) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 4.txt""':seeout}

{com}. 
{txt}end of do-file

{com}. do "$analyze\Table 5. Sensitivity.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results/Table 5"
{txt}
{com}. 
. 
. * Table 5A. Pre-post data and estimates
. 
. use "$infile", clear
{txt}
{com}. gen post = 0
{txt}
{com}. replace post = 1 if week >= 0 & weeksDD == 1
{txt}(16,830 real changes made)

{com}. replace post = 1 if week2 >= 0 & weeksDD == 2
{txt}(196,730 real changes made)

{com}. egen datasetpost = group(dataset post)
{txt}
{com}. egen waterdatasetpost = mean(water), by(home datasetpost)
{txt}
{com}. gen logwaterdatasetpost = log(waterdatasetpost+1)
{txt}
{com}. gen logwaterdatasetpost0 = log(waterdatasetpost)
{txt}
{com}. gen dwaterdatasetpost = (waterdatasetpost != 0)
{txt}
{com}. replace water = waterdatasetpost
{txt}(235,580 real changes made)

{com}. replace logwater = logwaterdatasetpost
{txt}(235,578 real changes made)

{com}. replace logwater0 = logwaterdatasetpost0
{txt}(235,580 real changes made)

{com}. replace dwater = dwaterdatasetpost
{txt}(9,818 real changes made)

{com}. duplicates drop home datasetpost, force

{p 0 4}{txt}Duplicates in terms of {res} home datasetpost{p_end}

{txt}(232,650 observations deleted)

{com}. gen zwater = 1-dwater
{txt}
{com}. sum zwater if dupindicator == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}zwater {c |}{res}      2,156           0           0          0          0
{txt}
{com}. save "Temp", replace
{txt}file Temp.dta saved

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe logwater treat, absorb(datasethome datasetpost) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     3,050
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     20.23
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.8744
{txt}{col 51}Adj R-squared{col 67}= {res}    0.7477
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0104
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.4446

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1979833{col 26}{space 2} .0440221{col 37}{space 1}   -4.50{col 46}{space 3}0.000{col 54}{space 4}-.2844448{col 67}{space 3}-.1115217
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.185359{col 26}{space 2} .0342218{col 37}{space 1}  122.30{col 46}{space 3}0.000{col 54}{space 4} 4.118146{col 67}{space 3} 4.252573
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetpost{col 14}{c |}{space 1}        6{col 27}{space 1}        0{col 39}{result}{space 1}        6{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(1,884 observations deleted)
(583 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(0 observations are duplicates)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -18.01294     20.4226  -224.0986  -.3221692
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word replace ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. use "Temp", clear 
{txt}
{com}. drop if logwater0 == .
{txt}(0 observations deleted)

{com}. reghdfe logwater0 treat, absorb(datasethome datasetpost) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     3,050
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     19.78
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.8647
{txt}{col 51}Adj R-squared{col 67}= {res}    0.7283
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0096
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.4817

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   logwater0{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2067752{col 26}{space 2} .0464967{col 37}{space 1}   -4.45{col 46}{space 3}0.000{col 54}{space 4}-.2980968{col 67}{space 3}-.1154535
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.162188{col 26}{space 2} .0361454{col 37}{space 1}  115.15{col 46}{space 3}0.000{col 54}{space 4} 4.091196{col 67}{space 3} 4.233179
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetpost{col 14}{c |}{space 1}        6{col 27}{space 1}        0{col 39}{result}{space 1}        6{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(1,884 observations deleted)
(583 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(0 observations are duplicates)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583    -18.7331     21.2391  -233.0581  -.3350495
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. use "Temp", clear 
{txt}
{com}. reghdfe dwater treat, absorb(datasethome datasetpost) cluster(home)
{res}{txt}warning: dwater might be perfectly explained by fixed effects (tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}warning: missing F statistic; dropped variables due to collinearity or too few clusters
{txt}note: treat omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     3,050
{txt}Absorbing 2 HDFE groups{col 51}{help j_robustsingular##|_new:F(   1,    582)}{col 67}=          {res}.
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}=          {res}.
{txt}{col 51}Root MSE{col 67}= {res}    0.0000
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      dwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetpost{col 14}{c |}{space 1}        6{col 27}{space 1}        0{col 39}{result}{space 1}        6{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(1,884 observations deleted)
(583 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(0 observations are duplicates)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583           0           0          0          0
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. 
. * Table 5B. Monthly data and estimates
. 
. use "$infile", clear
{txt}
{com}. egen datasetmonth = group(dataset month)
{txt}
{com}. egen watermonth = mean(water), by(home month)
{txt}
{com}. gen logwatermonth = log(watermonth+1)
{txt}
{com}. gen logwatermonth0 = log(watermonth)
{txt}(3,140 missing values generated)

{com}. gen dwatermonth = (watermonth != 0)
{txt}
{com}. replace water = watermonth
{txt}(228,819 real changes made)

{com}. replace logwater = logwatermonth
{txt}(228,709 real changes made)

{com}. replace logwater0 = logwatermonth0
{txt}(228,696 real changes made)

{com}. replace dwater = dwatermonth
{txt}(6,678 real changes made)

{com}. duplicates drop dataset home month, force

{p 0 4}{txt}Duplicates in terms of {res} dataset home month{p_end}

{txt}(181,390 observations deleted)

{com}. gen zwater = 1-dwater
{txt}
{com}. sum zwater if dupindicator == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}zwater {c |}{res}     33,748      .01286    .1126722          0          1
{txt}
{com}. save "Temp", replace
{txt}file Temp.dta saved

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe logwater treat, absorb(datasethome datasetmonth) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    54,310
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     14.67
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0001
{txt}{col 51}R-squared{col 67}= {res}    0.6194
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6076
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0005
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.6859

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1861487{col 26}{space 2} .0486064{col 37}{space 1}   -3.83{col 46}{space 3}0.000{col 54}{space 4}-.2816141{col 67}{space 3}-.0906833
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.005053{col 26}{space 2} .0453612{col 37}{space 1}   88.29{col 46}{space 3}0.000{col 54}{space 4} 3.915962{col 67}{space 3} 4.094145
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 14}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}  Absorbed FE{col 15}{c |} Categories{col 28} - Redundant{col 40}  = Num. Coefs{col 55}{c |}
{res}{col 1}{text}{hline 14}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  datasethome{col 15}{c |}{space 1}     1525{col 28}{space 1}     1525{col 40}{result}{space 1}        0{col 54}{text}*{col 55}{c |}
{res}{col 1}{text} datasetmonth{col 15}{c |}{space 1}      106{col 28}{space 1}        0{col 40}{result}{space 1}      106{col 54}{text} {col 55}{c |}
{res}{col 1}{text}{hline 14}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(41,796 observations deleted)
(9,560 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(2,371 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.22556    113.6631   .8214285   1249.343

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583    -17.0233    19.30566  -212.3705  -.3093694
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. use "Temp", clear 
{txt}
{com}. drop if logwater0 == .
{txt}(730 observations deleted)

{com}. reghdfe logwater0 treat, absorb(datasethome datasetmonth) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 4 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    53,580
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     16.74
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.6332
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6216
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0005
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.6705

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   logwater0{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1770972{col 26}{space 2} .0432829{col 37}{space 1}   -4.09{col 46}{space 3}0.000{col 54}{space 4}-.2621069{col 67}{space 3}-.0920874
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.002296{col 26}{space 2} .0403764{col 37}{space 1}   99.12{col 46}{space 3}0.000{col 54}{space 4} 3.922994{col 67}{space 3} 4.081597
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 14}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}  Absorbed FE{col 15}{c |} Categories{col 28} - Redundant{col 40}  = Num. Coefs{col 55}{c |}
{res}{col 1}{text}{hline 14}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  datasethome{col 15}{c |}{space 1}     1525{col 28}{space 1}     1525{col 40}{result}{space 1}        0{col 54}{text}*{col 55}{c |}
{res}{col 1}{text} datasetmonth{col 15}{c |}{space 1}      106{col 28}{space 1}        0{col 40}{result}{space 1}      106{col 54}{text} {col 55}{c |}
{res}{col 1}{text}{hline 14}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(41,194 observations deleted)
(9,450 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(2,353 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583     99.4733    113.6437   .8214285   1249.343

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -16.30698    18.44455  -202.9326  -.2956208
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. use "Temp", clear 
{txt}
{com}. reghdfe dwater treat, absorb(datasethome datasetmonth) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    54,310
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}      1.06
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.3032
{txt}{col 51}R-squared{col 67}= {res}    0.1864
{txt}{col 51}Adj R-squared{col 67}= {res}    0.1612
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0000
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.1055

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      dwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.0055573{col 26}{space 2} .0053927{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0161487{col 67}{space 3} .0050342
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9917449{col 26}{space 2} .0050326{col 37}{space 1}  197.06{col 46}{space 3}0.000{col 54}{space 4} .9818605{col 67}{space 3} 1.001629
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 14}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}  Absorbed FE{col 15}{c |} Categories{col 28} - Redundant{col 40}  = Num. Coefs{col 55}{c |}
{res}{col 1}{text}{hline 14}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  datasethome{col 15}{c |}{space 1}     1525{col 28}{space 1}     1525{col 40}{result}{space 1}        0{col 54}{text}*{col 55}{c |}
{res}{col 1}{text} datasetmonth{col 15}{c |}{space 1}      106{col 28}{space 1}        0{col 40}{result}{space 1}      106{col 54}{text} {col 55}{c |}
{res}{col 1}{text}{hline 14}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if (cohort == 1 & weeksDD == 1 & treat == 0) | (cohort != 1 & weeksDD == 2 & treat == 0)
{txt}(51,356 observations deleted)

{com}. leveleffects
{txt}(0 observations deleted)
(0 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(2,371 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.22556    113.6631   .8214285   1249.343

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -.5554338    .6299024  -6.929197  -.0100941
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. 
. * Table 5C. Weekly data and estimates
. 
. use "$infile", clear
{txt}
{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     13.89
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0002
{txt}{col 51}R-squared{col 67}= {res}    0.5070
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5028
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.8794

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1950236{col 26}{space 2} .0523194{col 37}{space 1}   -3.73{col 46}{space 3}0.000{col 54}{space 4}-.2977814{col 67}{space 3}-.0922659
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.927971{col 26}{space 2} .0488286{col 37}{space 1}   80.44{col 46}{space 3}0.000{col 54}{space 4} 3.832069{col 67}{space 3} 4.023873
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(181,680 observations deleted)
(41,174 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -17.76908    20.14612  -221.0648  -.3178077
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. use "$infile", clear 
{txt}
{com}. sum logwater0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}logwater0 {c |}{res}    225,882    3.870007    1.046739   -1.94591   8.062433
{txt}
{com}. drop if logwater0 == .
{txt}(9,818 observations deleted)

{com}. reghdfe logwater0 treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 4 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   225,882
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     15.86
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0001
{txt}{col 51}R-squared{col 67}= {res}    0.6149
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6115
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0005
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.6524

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   logwater0{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1671844{col 26}{space 2} .0419736{col 37}{space 1}   -3.98{col 46}{space 3}0.000{col 54}{space 4}-.2496225{col 67}{space 3}-.0847462
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.025886{col 26}{space 2} .0391352{col 37}{space 1}  102.87{col 46}{space 3}0.000{col 54}{space 4} 3.949023{col 67}{space 3} 4.102749
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(173,816 observations deleted)
(39,573 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(11,910 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    100.6215    113.7086   2.380952   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -15.64528    17.50616  -192.0838  -.5205192
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. use "$infile", clear 
{txt}
{com}. gen zwater = 1-dwater
{txt}
{com}. sum zwater if dupindicator == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}zwater {c |}{res}    146,300    .0405673    .1972863          0          1
{txt}
{com}. reghdfe dwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}      1.31
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.2532
{txt}{col 51}R-squared{col 67}= {res}    0.1952
{txt}{col 51}Adj R-squared{col 67}= {res}    0.1884
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0000
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.1800

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      dwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.0091603{col 26}{space 2} .0080089{col 37}{space 1}   -1.14{col 46}{space 3}0.253{col 54}{space 4}-.0248902{col 67}{space 3} .0065696
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9668945{col 26}{space 2} .0074746{col 37}{space 1}  129.36{col 46}{space 3}0.000{col 54}{space 4}  .952214{col 67}{space 3} .9815749
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(181,680 observations deleted)
(41,174 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -.9144494    1.036779  -11.37665  -.0163553
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. 
. * Table 5D. Daily data and estimates
. 
. use "DataDaily", clear
{txt}
{com}. egen datasetdate = group(dataset date)
{txt}
{com}. replace water = wpd
{txt}(1,532,726 real changes made)

{com}. replace logwater = log(water+1)
{txt}(1,532,726 real changes made)

{com}. replace logwater0 = log(water)
{txt}(1,532,726 real changes made, 204,050 to missing)

{com}. replace dwater = (water != 0)
{txt}(204,050 real changes made)

{com}. gen zwater = 1 - dwater
{txt}
{com}. sum zwater if dupindicator == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}zwater {c |}{res}  1,025,585    .1614903    .3679827          0          1
{txt}
{com}. save "Temp", replace
{txt}file Temp.dta saved

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe logwater treat, absorb(datasethome datasetdate) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,651,385
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     21.43
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3411
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3392
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    1.4135

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2782866{col 26}{space 2} .0601091{col 37}{space 1}   -4.63{col 46}{space 3}0.000{col 54}{space 4}-.3963437{col 67}{space 3}-.1602295
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.616493{col 26}{space 2} .0560969{col 37}{space 1}   64.47{col 46}{space 3}0.000{col 54}{space 4} 3.506316{col 67}{space 3}  3.72667
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetdate{col 14}{c |}{space 1}     3223{col 27}{space 1}        0{col 39}{result}{space 1}     3223{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(1,271,904 observations deleted)
(289,559 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(89,339 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -24.36139    27.62032  -303.0796   -.435714
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. use "Temp", clear 
{txt}
{com}. drop if logwater0 == .
{txt}(272,836 observations deleted)

{com}. reghdfe logwater0 treat, absorb(datasethome datasetdate) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,378,549
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     18.09
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.4713
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4695
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.7301

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   logwater0{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} -.152911{col 26}{space 2}  .035956{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.2235304{col 67}{space 3}-.0822916
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  4.13415{col 26}{space 2} .0334484{col 37}{space 1}  123.60{col 46}{space 3}0.000{col 54}{space 4} 4.068456{col 67}{space 3} 4.199845
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetdate{col 14}{c |}{space 1}     3223{col 27}{space 1}        0{col 39}{result}{space 1}     3223{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(1,054,883 observations deleted)
(245,235 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(77,848 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    107.9092    113.7101         10   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -15.44267     16.1234  -176.9093  -1.559733
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. use "Temp", clear 
{txt}
{com}. reghdfe dwater treat, absorb(datasethome datasetdate) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,651,385
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     10.05
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0016
{txt}{col 51}R-squared{col 67}= {res}    0.2113
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2090
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0001
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.3303

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      dwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.0385878{col 26}{space 2} .0121696{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-.0624895{col 67}{space 3}-.0146861
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8707956{col 26}{space 2} .0113573{col 37}{space 1}   76.67{col 46}{space 3}0.000{col 54}{space 4} .8484893{col 67}{space 3}  .893102
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetdate{col 14}{c |}{space 1}     3223{col 27}{space 1}        0{col 39}{result}{space 1}     3223{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(1,271,904 observations deleted)
(289,559 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(89,339 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -3.796084    4.303901    -47.227  -.0678946
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 5.txt""':seeout}

{com}. 
. 
{txt}end of do-file

{com}. do "$analyze\Table 6. Quartiles.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results\Table 6"
{txt}
{com}. 
. 
. * Create quartiles
. 
. use "$infile", clear
{txt}
{com}. drop if dupindicator == 1
{txt}(89,400 observations deleted)

{com}. 
. drop if m2 == .
{txt}(4,200 observations deleted)

{com}. gen m2water = water/m2
{txt}
{com}. 
. egen M2waterb = mean(m2water) if treat == 0, by(home)
{txt}(126921 missing values generated)

{com}. egen m2waterb = mean(M2waterb), by(home)
{txt}
{com}. egen M2watera = mean(m2water) if treat == 1, by(home)
{txt}(15179 missing values generated)

{com}. egen m2watera = mean(M2watera), by(home)
{txt}
{com}. gen m2waterm = (m2waterb + m2watera)/2
{txt}
{com}. 
. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(141,535 observations deleted)

{com}. 
. _pctile m2waterm, p(25)
{txt}
{com}. local p25 = r(r1)
{txt}
{com}. _pctile m2waterm, p(50)
{txt}
{com}. local p50 = r(r1)
{txt}
{com}. _pctile m2waterm, p(75)
{txt}
{com}. local p75 = r(r1)
{txt}
{com}. 
. gen quartile = .
{txt}(565 missing values generated)

{com}. replace quartile = 1 if m2waterm <= `p25'
{txt}(142 real changes made)

{com}. replace quartile = 2 if m2waterm > `p25' & m2waterm <= `p50' 
{txt}(140 real changes made)

{com}. replace quartile = 3 if m2waterm > `p50' & m2waterm <= `p75' 
{txt}(142 real changes made)

{com}. replace quartile = 4 if m2waterm > `p75' 
{txt}(141 real changes made)

{com}. 
. keep home quartile
{txt}
{com}. 
. save "Temp", replace
{txt}file Temp.dta saved

{com}. 
. 
. * Merging
. 
. use "$infile", clear
{txt}
{com}. merge m:1 home using "Temp", nogen
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           5,200
{txt}{col 9}from master{col 30}{res}           5,200{txt}  
{col 9}from using{col 30}{res}               0{txt}  

{col 5}matched{col 30}{res}         230,500{txt}  
{col 5}{hline 41}

{com}. save "Temp", replace
{txt}file Temp.dta saved

{com}. 
. 
. * Extra before-after estimates
. 
. use "Temp", clear 
{txt}
{com}. keep if treated == 1 & quartile == 1
{txt}(219,620 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    16,080
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       142

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0357{col 63}{txt}min{col 67}={col 69}{res}        60
{txt}     between = {res}0.0077{col 63}{txt}avg{col 67}={col 69}{res}     113.2
{txt}     overall = {res}0.0170{col 63}{txt}max{col 67}={col 69}{res}       200

{txt}{col 49}F({res}12{txt},{res}141{txt}){col 67}={col 70}{res}     5.34
{txt}corr(u_i, Xb){col 16}= {res}-0.0206{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:142} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.0972168{col 26}{space 2} .0675466{col 37}{space 1}   -1.44{col 46}{space 3}0.152{col 54}{space 4}-.2307519{col 67}{space 3} .0363183
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0025708{col 26}{space 2}  .025542{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4}-.0479241{col 67}{space 3} .0530656
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0394848{col 26}{space 2} .0356413{col 37}{space 1}    1.11{col 46}{space 3}0.270{col 54}{space 4}-.0309756{col 67}{space 3} .1099452
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0427068{col 26}{space 2}  .039379{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4}-.0351427{col 67}{space 3} .1205563
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.106614{col 26}{space 2} .0443818{col 37}{space 1}   -2.40{col 46}{space 3}0.018{col 54}{space 4}-.1943537{col 67}{space 3}-.0188742
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2397951{col 26}{space 2} .0570997{col 37}{space 1}   -4.20{col 46}{space 3}0.000{col 54}{space 4}-.3526772{col 67}{space 3} -.126913
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.364183{col 26}{space 2} .0826457{col 37}{space 1}   -4.41{col 46}{space 3}0.000{col 54}{space 4}-.5275679{col 67}{space 3}-.2007982
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.3024766{col 26}{space 2} .0664701{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-.4338835{col 67}{space 3}-.1710698
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1757196{col 26}{space 2} .0543841{col 37}{space 1}   -3.23{col 46}{space 3}0.002{col 54}{space 4}-.2832333{col 67}{space 3}-.0682059
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0466076{col 26}{space 2} .0387062{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4}-.1231271{col 67}{space 3} .0299119
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0430911{col 26}{space 2}  .036556{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.1153599{col 67}{space 3} .0291777
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0063868{col 26}{space 2} .0362916{col 37}{space 1}   -0.18{col 46}{space 3}0.861{col 54}{space 4}-.0781328{col 67}{space 3} .0653591
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.212014{col 26}{space 2} .0621104{col 37}{space 1}   51.71{col 46}{space 3}0.000{col 54}{space 4} 3.089226{col 67}{space 3} 3.334802
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .59985082
     {txt}sigma_e {c |} {res}  .7473822
         {txt}rho {c |} {res} .39179067{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. use "Temp", clear 
{txt}
{com}. keep if treated == 1 & quartile == 2
{txt}(223,380 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,320
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       140

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0454{col 63}{txt}min{col 67}={col 69}{res}        60
{txt}     between = {res}0.0241{col 63}{txt}avg{col 67}={col 69}{res}      88.0
{txt}     overall = {res}0.0214{col 63}{txt}max{col 67}={col 69}{res}       200

{txt}{col 49}F({res}12{txt},{res}139{txt}){col 67}={col 70}{res}     4.88
{txt}corr(u_i, Xb){col 16}= {res}-0.0938{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:140} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2513895{col 26}{space 2} .0775357{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4}-.4046914{col 67}{space 3}-.0980877
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0338701{col 26}{space 2} .0329297{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.0312378{col 67}{space 3} .0989779
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0045431{col 26}{space 2} .0603346{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.1147492{col 67}{space 3} .1238353
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0146238{col 26}{space 2} .0568036{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-.1269347{col 67}{space 3} .0976871
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0622623{col 26}{space 2} .0596076{col 37}{space 1}   -1.04{col 46}{space 3}0.298{col 54}{space 4}-.1801172{col 67}{space 3} .0555926
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2713332{col 26}{space 2} .0777467{col 37}{space 1}   -3.49{col 46}{space 3}0.001{col 54}{space 4}-.4250523{col 67}{space 3}-.1176141
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.4556298{col 26}{space 2} .1027297{col 37}{space 1}   -4.44{col 46}{space 3}0.000{col 54}{space 4}-.6587446{col 67}{space 3} -.252515
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2628484{col 26}{space 2} .0871128{col 37}{space 1}   -3.02{col 46}{space 3}0.003{col 54}{space 4}-.4350859{col 67}{space 3}-.0906109
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1377701{col 26}{space 2} .0700445{col 37}{space 1}   -1.97{col 46}{space 3}0.051{col 54}{space 4}-.2762605{col 67}{space 3} .0007202
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0042442{col 26}{space 2} .0615963{col 37}{space 1}   -0.07{col 46}{space 3}0.945{col 54}{space 4} -.126031{col 67}{space 3} .1175426
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0400334{col 26}{space 2} .0514415{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.0616755{col 67}{space 3} .1417423
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0274611{col 26}{space 2} .0518351{col 37}{space 1}   -0.53{col 46}{space 3}0.597{col 54}{space 4}-.1299484{col 67}{space 3} .0750261
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.919075{col 26}{space 2} .0656135{col 37}{space 1}   59.73{col 46}{space 3}0.000{col 54}{space 4} 3.789346{col 67}{space 3} 4.048805
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}   .546277
     {txt}sigma_e {c |} {res} .86991005
         {txt}rho {c |} {res} .28281775{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. use "Temp", clear 
{txt}
{com}. keep if treated == 1 & quartile == 3
{txt}(223,260 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    12,440
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       142

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0412{col 63}{txt}min{col 67}={col 69}{res}        60
{txt}     between = {res}0.0024{col 63}{txt}avg{col 67}={col 69}{res}      87.6
{txt}     overall = {res}0.0241{col 63}{txt}max{col 67}={col 69}{res}       200

{txt}{col 49}F({res}12{txt},{res}141{txt}){col 67}={col 70}{res}     9.06
{txt}corr(u_i, Xb){col 16}= {res}-0.0509{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:142} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2403873{col 26}{space 2} .0641164{col 37}{space 1}   -3.75{col 46}{space 3}0.000{col 54}{space 4}-.3671411{col 67}{space 3}-.1136335
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1183837{col 26}{space 2} .0351019{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0489896{col 67}{space 3} .1877778
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1379411{col 26}{space 2} .0600371{col 37}{space 1}    2.30{col 46}{space 3}0.023{col 54}{space 4} .0192519{col 67}{space 3} .2566302
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1061758{col 26}{space 2} .0571658{col 37}{space 1}    1.86{col 46}{space 3}0.065{col 54}{space 4} -.006837{col 67}{space 3} .2191887
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0103707{col 26}{space 2} .0607509{col 37}{space 1}    0.17{col 46}{space 3}0.865{col 54}{space 4}-.1097298{col 67}{space 3} .1304711
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1038453{col 26}{space 2} .0661365{col 37}{space 1}   -1.57{col 46}{space 3}0.119{col 54}{space 4}-.2345927{col 67}{space 3} .0269021
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2512017{col 26}{space 2} .0689545{col 37}{space 1}   -3.64{col 46}{space 3}0.000{col 54}{space 4}  -.38752{col 67}{space 3}-.1148834
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.1648974{col 26}{space 2} .0679123{col 37}{space 1}   -2.43{col 46}{space 3}0.016{col 54}{space 4}-.2991553{col 67}{space 3}-.0306394
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0053107{col 26}{space 2} .0585215{col 37}{space 1}   -0.09{col 46}{space 3}0.928{col 54}{space 4}-.1210038{col 67}{space 3} .1103824
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0496827{col 26}{space 2} .0595757{col 37}{space 1}   -0.83{col 46}{space 3}0.406{col 54}{space 4}-.1674597{col 67}{space 3} .0680943
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.023811{col 26}{space 2} .0642407{col 37}{space 1}   -0.37{col 46}{space 3}0.711{col 54}{space 4}-.1508106{col 67}{space 3} .1031886
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0391364{col 26}{space 2} .0512332{col 37}{space 1}    0.76{col 46}{space 3}0.446{col 54}{space 4}-.0621482{col 67}{space 3}  .140421
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.334391{col 26}{space 2} .0639004{col 37}{space 1}   67.83{col 46}{space 3}0.000{col 54}{space 4} 4.208064{col 67}{space 3} 4.460718
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .52761109
     {txt}sigma_e {c |} {res} .81639849
         {txt}rho {c |} {res} .29461252{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. use "Temp", clear 
{txt}
{com}. keep if treated == 1 & quartile == 4
{txt}(225,420 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    10,280
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       141

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0401{col 63}{txt}min{col 67}={col 69}{res}        60
{txt}     between = {res}0.0047{col 63}{txt}avg{col 67}={col 69}{res}      72.9
{txt}     overall = {res}0.0180{col 63}{txt}max{col 67}={col 69}{res}       200

{txt}{col 49}F({res}12{txt},{res}140{txt}){col 67}={col 70}{res}     8.09
{txt}corr(u_i, Xb){col 16}= {res}-0.0502{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:141} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2703848{col 26}{space 2} .0685147{col 37}{space 1}   -3.95{col 46}{space 3}0.000{col 54}{space 4}-.4058421{col 67}{space 3}-.1349275
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0272386{col 26}{space 2}  .035168{col 37}{space 1}    0.77{col 46}{space 3}0.440{col 54}{space 4}-.0422904{col 67}{space 3} .0967676
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0799037{col 26}{space 2} .0471028{col 37}{space 1}    1.70{col 46}{space 3}0.092{col 54}{space 4} -.013221{col 67}{space 3} .1730285
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1234174{col 26}{space 2} .0613942{col 37}{space 1}    2.01{col 46}{space 3}0.046{col 54}{space 4} .0020378{col 67}{space 3}  .244797
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0111008{col 26}{space 2} .0712954{col 37}{space 1}    0.16{col 46}{space 3}0.876{col 54}{space 4} -.129854{col 67}{space 3} .1520557
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1737064{col 26}{space 2} .0901375{col 37}{space 1}   -1.93{col 46}{space 3}0.056{col 54}{space 4} -.351913{col 67}{space 3} .0045003
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0893291{col 26}{space 2} .0944341{col 37}{space 1}   -0.95{col 46}{space 3}0.346{col 54}{space 4}-.2760303{col 67}{space 3} .0973722
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.1578899{col 26}{space 2} .0884739{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-.3328075{col 67}{space 3} .0170277
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1022732{col 26}{space 2} .0756809{col 37}{space 1}   -1.35{col 46}{space 3}0.179{col 54}{space 4}-.2518983{col 67}{space 3} .0473519
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0177249{col 26}{space 2} .0625689{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.1414269{col 67}{space 3} .1059771
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0830986{col 26}{space 2}  .073058{col 37}{space 1}   -1.14{col 46}{space 3}0.257{col 54}{space 4}-.2275382{col 67}{space 3} .0613411
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0303678{col 26}{space 2} .0537353{col 37}{space 1}   -0.57{col 46}{space 3}0.573{col 54}{space 4}-.1366053{col 67}{space 3} .0758698
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  5.03303{col 26}{space 2} .0590536{col 37}{space 1}   85.23{col 46}{space 3}0.000{col 54}{space 4} 4.916278{col 67}{space 3} 5.149782
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .68182113
     {txt}sigma_e {c |} {res} .83847689
         {txt}rho {c |} {res} .39803979{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. 
. * Table 6. Diff-in-diff estimates of quartile effects
. 
. use "Temp", clear 
{txt}
{com}. drop if treated == 1 & quartile != 1
{txt}(37,940 observations deleted)

{com}. gen dataquartile = 1
{txt}
{com}. save "TempA", replace
{txt}(note: file TempA.dta not found)
file TempA.dta saved

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   197,760
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    534{txt}){col 67}= {res}      2.78
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0960
{txt}{col 51}R-squared{col 67}= {res}    0.4949
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4909
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0001
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       535{txt}{col 51}Root MSE{col 67}= {res}    0.8849

{txt}{ralign 78:(Std. Err. adjusted for {res:535} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1111361{col 26}{space 2}   .06665{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4}-.2420644{col 67}{space 3} .0197923
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.780138{col 26}{space 2} .0647445{col 37}{space 1}   58.39{col 46}{space 3}0.000{col 54}{space 4} 3.652953{col 67}{space 3} 3.907323
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1084{col 27}{space 1}     1084{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(181,680 observations deleted)
(13,306 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(2,632 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        142    31.01107    15.42656   .7936508   78.19048

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        142    -3.36702    1.622612  -8.329493  -.1886616
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.txt""':seeout}

{com}. 
. use "Temp", clear 
{txt}
{com}. drop if treated == 1 & quartile != 2
{txt}(41,700 observations deleted)

{com}. gen dataquartile = 2
{txt}
{com}. save "TempB", replace
{txt}(note: file TempB.dta not found)
file TempB.dta saved

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   194,000
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    508{txt}){col 67}= {res}      6.18
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0132
{txt}{col 51}R-squared{col 67}= {res}    0.4754
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4712
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0002
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       509{txt}{col 51}Root MSE{col 67}= {res}    0.8944

{txt}{ralign 78:(Std. Err. adjusted for {res:509} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} -.213227{col 26}{space 2} .0857782{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-.3817508{col 67}{space 3}-.0447033
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.929938{col 26}{space 2} .0831058{col 37}{space 1}   47.29{col 46}{space 3}0.000{col 54}{space 4} 3.766664{col 67}{space 3} 4.093211
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1082{col 27}{space 1}     1082{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(181,680 observations deleted)
(9,156 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(3,024 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        140    56.89874    23.25318   1.307692   160.4762

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        140   -11.11814    4.465245  -31.00784    -.44314
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.txt""':seeout}

{com}. 
. use "Temp", clear 
{txt}
{com}. drop if treated == 1 & quartile != 3
{txt}(41,580 observations deleted)

{com}. gen dataquartile = 3
{txt}
{com}. save "TempC", replace
{txt}(note: file TempC.dta not found)
file TempC.dta saved

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   194,120
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    515{txt}){col 67}= {res}      9.04
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0028
{txt}{col 51}R-squared{col 67}= {res}    0.4804
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4762
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       516{txt}{col 51}Root MSE{col 67}= {res}    0.8912

{txt}{ralign 78:(Std. Err. adjusted for {res:516} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2369109{col 26}{space 2} .0788148{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4} -.391749{col 67}{space 3}-.0820728
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.984876{col 26}{space 2} .0763398{col 37}{space 1}   52.20{col 46}{space 3}0.000{col 54}{space 4}   3.8349{col 67}{space 3} 4.134851
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1084{col 27}{space 1}     1084{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(181,680 observations deleted)
(9,224 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(3,074 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        142    95.64484    39.68061   19.06593   227.7619

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        142   -20.38611    8.370166  -48.25467  -4.232677
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.txt""':seeout}

{com}. 
. use "Temp", clear 
{txt}
{com}. drop if treated == 1 & quartile != 4
{txt}(43,740 observations deleted)

{com}. gen dataquartile = 4
{txt}
{com}. save "TempD", replace
{txt}(note: file TempD.dta not found)
file TempD.dta saved

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   191,960
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    499{txt}){col 67}= {res}      5.98
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0148
{txt}{col 51}R-squared{col 67}= {res}    0.5005
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4964
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0002
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       500{txt}{col 51}Root MSE{col 67}= {res}    0.8932

{txt}{ralign 78:(Std. Err. adjusted for {res:500} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2047931{col 26}{space 2} .0837245{col 37}{space 1}   -2.45{col 46}{space 3}0.015{col 54}{space 4}-.3692891{col 67}{space 3} -.040297
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.985459{col 26}{space 2} .0809659{col 37}{space 1}   49.22{col 46}{space 3}0.000{col 54}{space 4} 3.826383{col 67}{space 3} 4.144535
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1083{col 27}{space 1}     1083{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(181,680 observations deleted)
(6,835 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(3,304 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        141    201.1115    139.3921   35.27473   1028.077

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        141   -37.42782    25.81319  -190.5687  -6.717502
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 6.txt""':seeout}

{com}. 
. 
. * F-tests
. 
. use "TempA", clear
{txt}
{com}. append using "TempB"
{txt}
{com}. append using "TempC"
{txt}
{com}. append using "TempD"
{txt}
{com}. 
. forvalues i = 1(1)4 {c -(}
{txt}  2{com}.         gen treat`i' = 0
{txt}  3{com}.         replace treat`i' = treat if dataquartile == `i'
{txt}  4{com}. {c )-}
{txt}(192,106 real changes made)
(187,956 real changes made)
(188,024 real changes made)
(185,635 real changes made)

{com}. foreach var in datasethome datasetweek home {c -(}
{txt}  2{com}.         forvalues i = 1(1)4 {c -(}
{txt}  3{com}.                 gen `var'`i' = 0
{txt}  4{com}.                 replace `var'`i' = `var' if dataquartile == `i'
{txt}  5{com}.         {c )-}
{txt}  6{com}.         egen s`var' = group(`var'1 `var'2 `var'3 `var'4)
{txt}  7{com}. {c )-}
{txt}(197,760 real changes made)
(194,000 real changes made)
(194,120 real changes made)
(191,960 real changes made)
(197,760 real changes made)
(194,000 real changes made)
(194,120 real changes made)
(191,960 real changes made)
(197,760 real changes made)
(194,000 real changes made)
(194,120 real changes made)
(191,960 real changes made)

{com}. 
. reghdfe logwater treat1 treat2 treat3 treat4, absorb(sdatasethome sdatasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   777,840
{txt}Absorbing 2 HDFE groups{col 51}F({res}   4{txt},{res}    574{txt}){col 67}= {res}      2.62
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0340
{txt}{col 51}R-squared{col 67}= {res}    0.4886
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4845
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0002
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       575{txt}{col 51}Root MSE{col 67}= {res}    0.8909

{txt}{ralign 78:(Std. Err. adjusted for {res:575} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}treat1 {c |}{col 14}{res}{space 2}-.1111361{col 26}{space 2} .0666471{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4} -.242038{col 67}{space 3} .0197659
{txt}{space 6}treat2 {c |}{col 14}{res}{space 2} -.213227{col 26}{space 2} .0857685{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-.3816853{col 67}{space 3}-.0447687
{txt}{space 6}treat3 {c |}{col 14}{res}{space 2}-.2369109{col 26}{space 2} .0788069{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-.3916961{col 67}{space 3}-.0821257
{txt}{space 6}treat4 {c |}{col 14}{res}{space 2}-.2047931{col 26}{space 2} .0837125{col 37}{space 1}   -2.45{col 46}{space 3}0.015{col 54}{space 4}-.3692132{col 67}{space 3}-.0403729
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.919265{col 26}{space 2} .0607073{col 37}{space 1}   64.56{col 46}{space 3}0.000{col 54}{space 4} 3.800029{col 67}{space 3}   4.0385
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 14}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}  Absorbed FE{col 15}{c |} Categories{col 28} - Redundant{col 40}  = Num. Coefs{col 55}{c |}
{res}{col 1}{text}{hline 14}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} sdatasethome{col 15}{c |}{space 1}     4333{col 28}{space 1}     4333{col 40}{result}{space 1}        0{col 54}{text}*{col 55}{c |}
{res}{col 1}{text} sdatasetweek{col 15}{c |}{space 1}     1840{col 28}{space 1}        0{col 40}{result}{space 1}     1840{col 54}{text} {col 55}{c |}
{res}{col 1}{text}{hline 14}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. test _b[treat1] = _b[treat2] = _b[treat3] = _b[treat4] 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treat1 - treat2 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} treat1 - treat3 = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} treat1 - treat4 = 0{p_end}

{txt}       F(  3,   574) ={res}    1.00
{txt}{col 13}Prob > F ={res}    0.3934
{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "$analyze\Table 7. Subgroup.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results/Table 7"
{txt}
{com}. 
. 
. * Table 7. Estimates by apartment characteristics
. 
. use "$infile", clear
{txt}
{com}. keep if rooms <= 2 & rooms != .
{txt}(88,640 observations deleted)

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   147,060
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    348{txt}){col 67}= {res}      5.01
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0258
{txt}{col 51}R-squared{col 67}= {res}    0.4284
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4228
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       349{txt}{col 51}Root MSE{col 67}= {res}    0.9235

{txt}{ralign 78:(Std. Err. adjusted for {res:349} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2144079{col 26}{space 2} .0957693{col 37}{space 1}   -2.24{col 46}{space 3}0.026{col 54}{space 4}-.4027674{col 67}{space 3}-.0260484
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.737244{col 26}{space 2} .0897767{col 37}{space 1}   41.63{col 46}{space 3}0.000{col 54}{space 4} 3.560671{col 67}{space 3} 3.913817
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      953{col 27}{space 1}      953{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(118,280 observations deleted)
(20,658 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(7,773 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        349    74.32893    78.89951   1.043956   1028.077

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        349   -14.53704     15.2261  -198.5922  -.3944444
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.txt""':seeout}

{com}. 
. use "$infile", clear
{txt}
{com}. keep if rooms > 2 & rooms != .
{txt}(152,260 observations deleted)

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    83,440
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    215{txt}){col 67}= {res}      9.99
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0018
{txt}{col 51}R-squared{col 67}= {res}    0.5327
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5270
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0006
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       216{txt}{col 51}Root MSE{col 67}= {res}    0.7941

{txt}{ralign 78:(Std. Err. adjusted for {res:216} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1937045{col 26}{space 2} .0612971{col 37}{space 1}   -3.16{col 46}{space 3}0.002{col 54}{space 4}-.3145248{col 67}{space 3}-.0728842
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.324484{col 26}{space 2} .0569063{col 37}{space 1}   75.99{col 46}{space 3}0.000{col 54}{space 4} 4.212319{col 67}{space 3}  4.43665
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      539{col 27}{space 1}      539{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(61,100 observations deleted)
(17,863 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(4,261 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        216    131.3282    114.5821   .7936508   861.7033

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        216   -23.30281    20.17777  -151.9209  -.3158596
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.txt""':seeout}

{com}. 
. use "$infile", clear
{txt}
{com}. keep if m2 <= 65 & m2 != .
{txt}(104,240 observations deleted)

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   131,460
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    308{txt}){col 67}= {res}      3.35
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0681
{txt}{col 51}R-squared{col 67}= {res}    0.4385
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4329
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0001
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       309{txt}{col 51}Root MSE{col 67}= {res}    0.9164

{txt}{ralign 78:(Std. Err. adjusted for {res:309} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} -.132038{col 26}{space 2}   .07213{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-.2739678{col 67}{space 3} .0098918
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.657562{col 26}{space 2} .0675819{col 37}{space 1}   54.12{col 46}{space 3}0.000{col 54}{space 4} 3.524581{col 67}{space 3} 3.790543
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      854{col 27}{space 1}      854{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(106,620 observations deleted)
(17,571 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(6,960 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        309    74.53637     81.3322   1.043956   1028.077

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        309   -9.343267    10.06017  -127.2889  -.2528216
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.txt""':seeout}

{com}. 
. use "$infile", clear
{txt}
{com}. keep if m2 > 65 & m2 != .
{txt}(136,660 observations deleted)

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    99,040
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    255{txt}){col 67}= {res}     10.37
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0015
{txt}{col 51}R-squared{col 67}= {res}    0.5167
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5113
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0008
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       256{txt}{col 51}Root MSE{col 67}= {res}    0.8264

{txt}{ralign 78:(Std. Err. adjusted for {res:256} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2416724{col 26}{space 2} .0750626{col 37}{space 1}   -3.22{col 46}{space 3}0.001{col 54}{space 4}-.3894941{col 67}{space 3}-.0938508
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.276874{col 26}{space 2} .0698407{col 37}{space 1}   61.24{col 46}{space 3}0.000{col 54}{space 4} 4.139336{col 67}{space 3} 4.414412
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      638{col 27}{space 1}      638{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(72,760 observations deleted)
(20,950 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(5,074 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        256    122.1716    109.6784   .7936508   861.7033

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        256    -26.4433    23.54649  -185.2108  -.3850728
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.txt""':seeout}

{com}. 
. use "$infile", clear
{txt}
{com}. keep if rent <= 938 & rent != .
{txt}(105,900 observations deleted)

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   129,800
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    285{txt}){col 67}= {res}      6.03
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0147
{txt}{col 51}R-squared{col 67}= {res}    0.4726
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4672
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0000
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       286{txt}{col 51}Root MSE{col 67}= {res}    0.9170

{txt}{ralign 78:(Std. Err. adjusted for {res:286} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2646984{col 26}{space 2} .1078199{col 37}{space 1}   -2.46{col 46}{space 3}0.015{col 54}{space 4}-.4769228{col 67}{space 3} -.052474
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.126587{col 26}{space 2} .1016921{col 37}{space 1}   40.58{col 46}{space 3}0.000{col 54}{space 4} 3.926424{col 67}{space 3}  4.32675
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      845{col 27}{space 1}      845{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(111,660 observations deleted)
(10,823 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(7,031 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        286    114.8702    119.0693   1.043956   1028.077

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        286   -26.94707    27.69106  -239.3248  -.4753478
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.txt""':seeout}

{com}. 
. use "$infile", clear
{txt}
{com}. keep if rent > 938 & rent != .
{txt}(135,000 observations deleted)

{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   100,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    278{txt}){col 67}= {res}     10.35
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0014
{txt}{col 51}R-squared{col 67}= {res}    0.5102
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5047
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0007
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       279{txt}{col 51}Root MSE{col 67}= {res}    0.8270

{txt}{ralign 78:(Std. Err. adjusted for {res:279} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1993494{col 26}{space 2} .0619532{col 37}{space 1}   -3.22{col 46}{space 3}0.001{col 54}{space 4}-.3213063{col 67}{space 3}-.0773925
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  3.78515{col 26}{space 2} .0571532{col 37}{space 1}   66.23{col 46}{space 3}0.000{col 54}{space 4} 3.672642{col 67}{space 3} 3.897658
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}      647{col 27}{space 1}      647{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. leveleffects
{txt}(67,720 observations deleted)
(27,698 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(5,003 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        279    76.89896    65.10546   .7936508    438.127

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        279   -14.07918    11.76693  -79.36624   -.324178
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table 7.txt""':seeout}

{com}. 
. 
. * F-tests
. 
. * Rooms
. use "$infile", clear
{txt}
{com}. drop if rooms == .
{txt}(5,200 observations deleted)

{com}. gen dgroup = (rooms > 2)
{txt}
{com}. gen treat1 = 0
{txt}
{com}. replace treat1 = treat if dgroup == 0
{txt}(137,858 real changes made)

{com}. gen treat2 = 0
{txt}
{com}. replace treat2 = treat if dgroup == 1
{txt}(77,463 real changes made)

{com}. foreach var in datasethome datasetweek home {c -(}
{txt}  2{com}.         gen `var'1 = 0
{txt}  3{com}.         replace `var'1 = `var' if dgroup == 0
{txt}  4{com}.         gen `var'2 = 0
{txt}  5{com}.         replace `var'2 = `var' if dgroup == 1
{txt}  6{com}.         egen s`var' = group(`var'1 `var'2)
{txt}  7{com}. {c )-}
{txt}(147,060 real changes made)
(83,440 real changes made)
(147,060 real changes made)
(83,440 real changes made)
(147,060 real changes made)
(83,440 real changes made)

{com}. reghdfe logwater treat1 treat2 dgroup, absorb(sdatasethome sdatasetweek) cluster(home)
{res}{txt}note: {res}dgroup{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: dgroup omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   230,500
{txt}Absorbing 2 HDFE groups{col 51}F({res}   2{txt},{res}    564{txt}){col 67}= {res}      7.52
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0006
{txt}{col 51}R-squared{col 67}= {res}    0.4940
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4887
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       565{txt}{col 51}Root MSE{col 67}= {res}    0.8789

{txt}{ralign 78:(Std. Err. adjusted for {res:565} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}treat1 {c |}{col 14}{res}{space 2}-.2144079{col 26}{space 2} .0957584{col 37}{space 1}   -2.24{col 46}{space 3}0.026{col 54}{space 4}-.4024946{col 67}{space 3}-.0263212
{txt}{space 6}treat2 {c |}{col 14}{res}{space 2}-.1937045{col 26}{space 2} .0611626{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-.3138389{col 67}{space 3}-.0735702
{txt}{space 6}dgroup {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} 3.949823{col 26}{space 2} .0608483{col 37}{space 1}   64.91{col 46}{space 3}0.000{col 54}{space 4} 3.830306{col 67}{space 3} 4.069339
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 14}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}  Absorbed FE{col 15}{c |} Categories{col 28} - Redundant{col 40}  = Num. Coefs{col 55}{c |}
{res}{col 1}{text}{hline 14}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} sdatasethome{col 15}{c |}{space 1}     1492{col 28}{space 1}     1492{col 40}{result}{space 1}        0{col 54}{text}*{col 55}{c |}
{res}{col 1}{text} sdatasetweek{col 15}{c |}{space 1}      920{col 28}{space 1}        0{col 40}{result}{space 1}      920{col 54}{text} {col 55}{c |}
{res}{col 1}{text}{hline 14}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. test _b[treat1] = _b[treat2]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treat1 - treat2 = 0{p_end}

{txt}       F(  1,   564) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8555
{txt}
{com}. 
. * m2
. use "$infile", clear
{txt}
{com}. drop if m2 == .
{txt}(5,200 observations deleted)

{com}. gen dgroup = (m2 > 65)
{txt}
{com}. gen treat1 = 0
{txt}
{com}. replace treat1 = treat if dgroup == 0
{txt}(123,171 real changes made)

{com}. gen treat2 = 0
{txt}
{com}. replace treat2 = treat if dgroup == 1
{txt}(92,150 real changes made)

{com}. foreach var in datasethome datasetweek home {c -(}
{txt}  2{com}.         gen `var'1 = 0
{txt}  3{com}.         replace `var'1 = `var' if dgroup == 0
{txt}  4{com}.         gen `var'2 = 0
{txt}  5{com}.         replace `var'2 = `var' if dgroup == 1
{txt}  6{com}.         egen s`var' = group(`var'1 `var'2)
{txt}  7{com}. {c )-}
{txt}(131,460 real changes made)
(99,040 real changes made)
(131,460 real changes made)
(99,040 real changes made)
(131,460 real changes made)
(99,040 real changes made)

{com}. reghdfe logwater treat1 treat2 dgroup, absorb(sdatasethome sdatasetweek) cluster(home)
{res}{txt}note: {res}dgroup{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: dgroup omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   230,500
{txt}Absorbing 2 HDFE groups{col 51}F({res}   2{txt},{res}    564{txt}){col 67}= {res}      6.87
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0011
{txt}{col 51}R-squared{col 67}= {res}    0.4941
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4887
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       565{txt}{col 51}Root MSE{col 67}= {res}    0.8789

{txt}{ralign 78:(Std. Err. adjusted for {res:565} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}treat1 {c |}{col 14}{res}{space 2} -.132038{col 26}{space 2} .0720949{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-.2736453{col 67}{space 3} .0095693
{txt}{space 6}treat2 {c |}{col 14}{res}{space 2}-.2416724{col 26}{space 2} .0749578{col 37}{space 1}   -3.22{col 46}{space 3}0.001{col 54}{space 4} -.388903{col 67}{space 3}-.0944418
{txt}{space 6}dgroup {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} 3.923665{col 26}{space 2} .0488076{col 37}{space 1}   80.39{col 46}{space 3}0.000{col 54}{space 4} 3.827798{col 67}{space 3} 4.019532
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 14}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}  Absorbed FE{col 15}{c |} Categories{col 28} - Redundant{col 40}  = Num. Coefs{col 55}{c |}
{res}{col 1}{text}{hline 14}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} sdatasethome{col 15}{c |}{space 1}     1492{col 28}{space 1}     1492{col 40}{result}{space 1}        0{col 54}{text}*{col 55}{c |}
{res}{col 1}{text} sdatasetweek{col 15}{c |}{space 1}      920{col 28}{space 1}        0{col 40}{result}{space 1}      920{col 54}{text} {col 55}{c |}
{res}{col 1}{text}{hline 14}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. test _b[treat1] = _b[treat2]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treat1 - treat2 = 0{p_end}

{txt}       F(  1,   564) ={res}    1.11
{txt}{col 13}Prob > F ={res}    0.2923
{txt}
{com}. 
. * Rent
. use "$infile", clear
{txt}
{com}. drop if rent == .
{txt}(5,200 observations deleted)

{com}. gen dgroup = (rent > 938)
{txt}
{com}. gen treat1 = 0
{txt}
{com}. replace treat1 = treat if dgroup == 0
{txt}(122,423 real changes made)

{com}. gen treat2 = 0
{txt}
{com}. replace treat2 = treat if dgroup == 1
{txt}(92,898 real changes made)

{com}. foreach var in datasethome datasetweek home {c -(}
{txt}  2{com}.         gen `var'1 = 0
{txt}  3{com}.         replace `var'1 = `var' if dgroup == 0
{txt}  4{com}.         gen `var'2 = 0
{txt}  5{com}.         replace `var'2 = `var' if dgroup == 1
{txt}  6{com}.         egen s`var' = group(`var'1 `var'2)
{txt}  7{com}. {c )-}
{txt}(129,800 real changes made)
(100,700 real changes made)
(129,800 real changes made)
(100,700 real changes made)
(129,800 real changes made)
(100,700 real changes made)

{com}. reghdfe logwater treat1 treat2 dgroup, absorb(sdatasethome sdatasetweek) cluster(home)
{res}{txt}note: {res}dgroup{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: dgroup omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   230,500
{txt}Absorbing 2 HDFE groups{col 51}F({res}   2{txt},{res}    564{txt}){col 67}= {res}      8.21
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0003
{txt}{col 51}R-squared{col 67}= {res}    0.4941
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4887
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       565{txt}{col 51}Root MSE{col 67}= {res}    0.8789

{txt}{ralign 78:(Std. Err. adjusted for {res:565} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}treat1 {c |}{col 14}{res}{space 2}-.2646984{col 26}{space 2} .1077511{col 37}{space 1}   -2.46{col 46}{space 3}0.014{col 54}{space 4}-.4763407{col 67}{space 3} -.053056
{txt}{space 6}treat2 {c |}{col 14}{res}{space 2}-.1993494{col 26}{space 2}  .061879{col 37}{space 1}   -3.22{col 46}{space 3}0.001{col 54}{space 4}-.3208909{col 67}{space 3}-.0778079
{txt}{space 6}dgroup {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} 3.977421{col 26}{space 2} .0624265{col 37}{space 1}   63.71{col 46}{space 3}0.000{col 54}{space 4} 3.854805{col 67}{space 3} 4.100038
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 14}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}  Absorbed FE{col 15}{c |} Categories{col 28} - Redundant{col 40}  = Num. Coefs{col 55}{c |}
{res}{col 1}{text}{hline 14}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} sdatasethome{col 15}{c |}{space 1}     1492{col 28}{space 1}     1492{col 40}{result}{space 1}        0{col 54}{text}*{col 55}{c |}
{res}{col 1}{text} sdatasetweek{col 15}{c |}{space 1}      920{col 28}{space 1}        0{col 40}{result}{space 1}      920{col 54}{text} {col 55}{c |}
{res}{col 1}{text}{hline 14}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. test _b[treat1] = _b[treat2]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treat1 - treat2 = 0{p_end}

{txt}       F(  1,   564) ={res}    0.28
{txt}{col 13}Prob > F ={res}    0.5991
{txt}
{com}. 
{txt}end of do-file

{com}. do "$analyze\Table 8. Month of year.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results\Table 8"
{txt}
{com}. 
. 
. * Create monthly data and post dummies
. 
. use "$infile", clear
{txt}
{com}. 
. egen watermonth = mean(water), by(home month)
{txt}
{com}. gen logwatermonth = log(watermonth+1)
{txt}
{com}. gen logwatermonth0 = log(watermonth)
{txt}(3,140 missing values generated)

{com}. gen dwatermonth = (watermonth != 0)
{txt}
{com}. replace water = watermonth
{txt}(228,819 real changes made)

{com}. replace logwater = logwatermonth
{txt}(228,709 real changes made)

{com}. replace logwater0 = logwatermonth0
{txt}(228,696 real changes made)

{com}. replace dwater = dwatermonth
{txt}(6,678 real changes made)

{com}. duplicates drop home year month, force

{p 0 4}{txt}Duplicates in terms of {res} home year month{p_end}

{txt}(201,952 observations deleted)

{com}. 
. forvalues i = 1(1)12 {c -(}
{txt}  2{com}.         gen treatmoy`i' = (moy == `i' & treat == 1)
{txt}  3{com}. {c )-}
{txt}
{com}. gen post = 0
{txt}
{com}. replace post = 1 if week >= 0 & weeksDD == 1
{txt}(3,960 real changes made)

{com}. replace post = 1 if week2 >= 0 & weeksDD == 2
{txt}(25,652 real changes made)

{com}. egen datasetpost = group(dataset post)
{txt}
{com}. 
. 
. * Table 8. Month-of-year specific estimates
. 
. reghdfe logwater treatmoy1-treatmoy12 i.moy, absorb(datasethome datasetpost) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 4 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    33,748
{txt}Absorbing 2 HDFE groups{col 51}F({res}  23{txt},{res}    582{txt}){col 67}= {res}     13.97
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.6417
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6245
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0228
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.6745

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatmoy1 {c |}{col 14}{res}{space 2}-.1690629{col 26}{space 2} .0686274{col 37}{space 1}   -2.46{col 46}{space 3}0.014{col 54}{space 4}-.3038505{col 67}{space 3}-.0342753
{txt}{space 3}treatmoy2 {c |}{col 14}{res}{space 2}-.2313647{col 26}{space 2} .0625439{col 37}{space 1}   -3.70{col 46}{space 3}0.000{col 54}{space 4} -.354204{col 67}{space 3}-.1085255
{txt}{space 3}treatmoy3 {c |}{col 14}{res}{space 2}-.2175077{col 26}{space 2} .0543041{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4}-.3241635{col 67}{space 3}-.1108518
{txt}{space 3}treatmoy4 {c |}{col 14}{res}{space 2}-.2330763{col 26}{space 2} .0558187{col 37}{space 1}   -4.18{col 46}{space 3}0.000{col 54}{space 4}-.3427069{col 67}{space 3}-.1234456
{txt}{space 3}treatmoy5 {c |}{col 14}{res}{space 2}-.1728241{col 26}{space 2} .0618027{col 37}{space 1}   -2.80{col 46}{space 3}0.005{col 54}{space 4}-.2942076{col 67}{space 3}-.0514407
{txt}{space 3}treatmoy6 {c |}{col 14}{res}{space 2}-.1477435{col 26}{space 2}  .067018{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}  -.27937{col 67}{space 3}-.0161169
{txt}{space 3}treatmoy7 {c |}{col 14}{res}{space 2} .0124116{col 26}{space 2} .1413947{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.2652943{col 67}{space 3} .2901175
{txt}{space 3}treatmoy8 {c |}{col 14}{res}{space 2}-.0202994{col 26}{space 2}  .109602{col 37}{space 1}   -0.19{col 46}{space 3}0.853{col 54}{space 4}-.2355631{col 67}{space 3} .1949644
{txt}{space 3}treatmoy9 {c |}{col 14}{res}{space 2}-.1351718{col 26}{space 2} .1230528{col 37}{space 1}   -1.10{col 46}{space 3}0.272{col 54}{space 4}-.3768534{col 67}{space 3} .1065098
{txt}{space 2}treatmoy10 {c |}{col 14}{res}{space 2} -.170462{col 26}{space 2} .1042942{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.3753009{col 67}{space 3} .0343769
{txt}{space 2}treatmoy11 {c |}{col 14}{res}{space 2}  -.27106{col 26}{space 2} .0921802{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-.4521063{col 67}{space 3}-.0900137
{txt}{space 2}treatmoy12 {c |}{col 14}{res}{space 2}-.2450227{col 26}{space 2} .1117396{col 37}{space 1}   -2.19{col 46}{space 3}0.029{col 54}{space 4}-.4644846{col 67}{space 3}-.0255608
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0660638{col 26}{space 2} .0252523{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0164671{col 67}{space 3} .1156605
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0638433{col 26}{space 2} .0344469{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4} -.003812{col 67}{space 3} .1314986
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0616399{col 26}{space 2} .0369553{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0109421{col 67}{space 3} .1342219
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0429816{col 26}{space 2} .0420892{col 37}{space 1}   -1.02{col 46}{space 3}0.308{col 54}{space 4}-.1256469{col 67}{space 3} .0396837
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1810822{col 26}{space 2}  .048933{col 37}{space 1}   -3.70{col 46}{space 3}0.000{col 54}{space 4}-.2771888{col 67}{space 3}-.0849755
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.4919039{col 26}{space 2} .1724598{col 37}{space 1}   -2.85{col 46}{space 3}0.004{col 54}{space 4}-.8306232{col 67}{space 3}-.1531846
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.3670465{col 26}{space 2}  .145053{col 37}{space 1}   -2.53{col 46}{space 3}0.012{col 54}{space 4}-.6519377{col 67}{space 3}-.0821554
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1751821{col 26}{space 2}  .123757{col 37}{space 1}   -1.42{col 46}{space 3}0.157{col 54}{space 4}-.4182468{col 67}{space 3} .0678826
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0616127{col 26}{space 2} .0832845{col 37}{space 1}   -0.74{col 46}{space 3}0.460{col 54}{space 4}-.2251876{col 67}{space 3} .1019621
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0623967{col 26}{space 2} .0600658{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.0555754{col 67}{space 3} .1803687
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0525243{col 26}{space 2} .0842036{col 37}{space 1}    0.62{col 46}{space 3}0.533{col 54}{space 4}-.1128556{col 67}{space 3} .2179042
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.073878{col 26}{space 2} .0629584{col 37}{space 1}   64.71{col 46}{space 3}0.000{col 54}{space 4} 3.950225{col 67}{space 3} 4.197532
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetpost{col 14}{c |}{space 1}        6{col 27}{space 1}        0{col 39}{result}{space 1}        6{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", nocon 2aster dec(3) word replace
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 8.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 8.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 8.txt""':seeout}

{com}. 
. reghdfe logwater0 treatmoy1-treatmoy12 i.moy, absorb(datasethome datasetpost) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    33,314
{txt}Absorbing 2 HDFE groups{col 51}F({res}  23{txt},{res}    582{txt}){col 67}= {res}     12.66
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.6540
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6371
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0209
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.6626

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   logwater0{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatmoy1 {c |}{col 14}{res}{space 2}-.1801238{col 26}{space 2} .0564587{col 37}{space 1}   -3.19{col 46}{space 3}0.001{col 54}{space 4}-.2910114{col 67}{space 3}-.0692362
{txt}{space 3}treatmoy2 {c |}{col 14}{res}{space 2}-.2260262{col 26}{space 2} .0514013{col 37}{space 1}   -4.40{col 46}{space 3}0.000{col 54}{space 4}-.3269809{col 67}{space 3}-.1250716
{txt}{space 3}treatmoy3 {c |}{col 14}{res}{space 2}-.2090893{col 26}{space 2} .0496565{col 37}{space 1}   -4.21{col 46}{space 3}0.000{col 54}{space 4}-.3066169{col 67}{space 3}-.1115616
{txt}{space 3}treatmoy4 {c |}{col 14}{res}{space 2}-.2215844{col 26}{space 2} .0521422{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.3239942{col 67}{space 3}-.1191747
{txt}{space 3}treatmoy5 {c |}{col 14}{res}{space 2} -.158553{col 26}{space 2} .0558648{col 37}{space 1}   -2.84{col 46}{space 3}0.005{col 54}{space 4}-.2682742{col 67}{space 3}-.0488319
{txt}{space 3}treatmoy6 {c |}{col 14}{res}{space 2}-.1793162{col 26}{space 2} .0599716{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-.2971033{col 67}{space 3}-.0615292
{txt}{space 3}treatmoy7 {c |}{col 14}{res}{space 2} .0028918{col 26}{space 2} .1732802{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.3374388{col 67}{space 3} .3432225
{txt}{space 3}treatmoy8 {c |}{col 14}{res}{space 2}-.1141463{col 26}{space 2} .0981806{col 37}{space 1}   -1.16{col 46}{space 3}0.245{col 54}{space 4}-.3069777{col 67}{space 3}  .078685
{txt}{space 3}treatmoy9 {c |}{col 14}{res}{space 2}-.1288703{col 26}{space 2} .1109182{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4}-.3467191{col 67}{space 3} .0889785
{txt}{space 2}treatmoy10 {c |}{col 14}{res}{space 2}-.1141585{col 26}{space 2} .0957678{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4}-.3022511{col 67}{space 3} .0739342
{txt}{space 2}treatmoy11 {c |}{col 14}{res}{space 2}-.2360659{col 26}{space 2} .0681249{col 37}{space 1}   -3.47{col 46}{space 3}0.001{col 54}{space 4}-.3698666{col 67}{space 3}-.1022652
{txt}{space 2}treatmoy12 {c |}{col 14}{res}{space 2}-.1759948{col 26}{space 2} .1121611{col 37}{space 1}   -1.57{col 46}{space 3}0.117{col 54}{space 4}-.3962845{col 67}{space 3}  .044295
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0524024{col 26}{space 2} .0269144{col 37}{space 1}    1.95{col 46}{space 3}0.052{col 54}{space 4}-.0004587{col 67}{space 3} .1052635
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0528045{col 26}{space 2} .0303615{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.0068271{col 67}{space 3}  .112436
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0538547{col 26}{space 2} .0335767{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-.0120915{col 67}{space 3}  .119801
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0428488{col 26}{space 2} .0417159{col 37}{space 1}   -1.03{col 46}{space 3}0.305{col 54}{space 4}-.1247808{col 67}{space 3} .0390832
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1395708{col 26}{space 2} .0455262{col 37}{space 1}   -3.07{col 46}{space 3}0.002{col 54}{space 4}-.2289864{col 67}{space 3}-.0501552
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.4720453{col 26}{space 2} .1934268{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-.8519449{col 67}{space 3}-.0921458
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2726324{col 26}{space 2} .1210842{col 37}{space 1}   -2.25{col 46}{space 3}0.025{col 54}{space 4}-.5104476{col 67}{space 3}-.0348171
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1700636{col 26}{space 2} .1214293{col 37}{space 1}   -1.40{col 46}{space 3}0.162{col 54}{space 4}-.4085565{col 67}{space 3} .0684293
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1208308{col 26}{space 2} .0940598{col 37}{space 1}   -1.28{col 46}{space 3}0.199{col 54}{space 4}-.3055689{col 67}{space 3} .0639073
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0181021{col 26}{space 2}  .057864{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4}-.0955456{col 67}{space 3} .1317497
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0139297{col 26}{space 2}  .104371{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-.2189193{col 67}{space 3} .1910599
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.075432{col 26}{space 2} .0514842{col 37}{space 1}   79.16{col 46}{space 3}0.000{col 54}{space 4} 3.974315{col 67}{space 3}  4.17655
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetpost{col 14}{c |}{space 1}        6{col 27}{space 1}        0{col 39}{result}{space 1}        6{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 8.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 8.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 8.txt""':seeout}

{com}. 
. reghdfe dwater treatmoy1-treatmoy12 i.moy, absorb(datasethome datasetpost) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 4 iterations)
{res}{txt}warning: missing F statistic; dropped variables due to collinearity or too few clusters
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    33,748
{txt}Absorbing 2 HDFE groups{col 51}{help j_robustsingular##|_new:F(  23,    582)}{col 67}=          {res}.
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}=          {res}.
{txt}{col 51}R-squared{col 67}= {res}    0.1969
{txt}{col 51}Adj R-squared{col 67}= {res}    0.1581
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0026
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.1034

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      dwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatmoy1 {c |}{col 14}{res}{space 2}-.0019362{col 26}{space 2} .0088203{col 37}{space 1}   -0.22{col 46}{space 3}0.826{col 54}{space 4}-.0192598{col 67}{space 3} .0153874
{txt}{space 3}treatmoy2 {c |}{col 14}{res}{space 2}-.0061048{col 26}{space 2} .0081811{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-.0221729{col 67}{space 3} .0099634
{txt}{space 3}treatmoy3 {c |}{col 14}{res}{space 2}-.0070571{col 26}{space 2} .0055418{col 37}{space 1}   -1.27{col 46}{space 3}0.203{col 54}{space 4}-.0179414{col 67}{space 3} .0038273
{txt}{space 3}treatmoy4 {c |}{col 14}{res}{space 2}-.0093911{col 26}{space 2} .0056146{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4}-.0204185{col 67}{space 3} .0016363
{txt}{space 3}treatmoy5 {c |}{col 14}{res}{space 2}-.0070385{col 26}{space 2} .0074115{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-.0215951{col 67}{space 3} .0075182
{txt}{space 3}treatmoy6 {c |}{col 14}{res}{space 2} .0041468{col 26}{space 2} .0091035{col 37}{space 1}    0.46{col 46}{space 3}0.649{col 54}{space 4}-.0137328{col 67}{space 3} .0220265
{txt}{space 3}treatmoy7 {c |}{col 14}{res}{space 2}  .014535{col 26}{space 2}  .020036{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-.0248166{col 67}{space 3} .0538866
{txt}{space 3}treatmoy8 {c |}{col 14}{res}{space 2}  .021691{col 26}{space 2} .0200928{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0177721{col 67}{space 3} .0611542
{txt}{space 3}treatmoy9 {c |}{col 14}{res}{space 2} .0008629{col 26}{space 2} .0244941{col 37}{space 1}    0.04{col 46}{space 3}0.972{col 54}{space 4}-.0472447{col 67}{space 3} .0489705
{txt}{space 2}treatmoy10 {c |}{col 14}{res}{space 2}-.0142722{col 26}{space 2}  .012556{col 37}{space 1}   -1.14{col 46}{space 3}0.256{col 54}{space 4}-.0389327{col 67}{space 3} .0103884
{txt}{space 2}treatmoy11 {c |}{col 14}{res}{space 2}-.0122646{col 26}{space 2} .0126271{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-.0370648{col 67}{space 3} .0125357
{txt}{space 2}treatmoy12 {c |}{col 14}{res}{space 2}-.0156969{col 26}{space 2}  .012717{col 37}{space 1}   -1.23{col 46}{space 3}0.218{col 54}{space 4}-.0406738{col 67}{space 3}   .00928
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0036832{col 26}{space 2} .0036851{col 37}{space 1}    1.00{col 46}{space 3}0.318{col 54}{space 4}-.0035545{col 67}{space 3}  .010921
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0044861{col 26}{space 2} .0048176{col 37}{space 1}    0.93{col 46}{space 3}0.352{col 54}{space 4}-.0049759{col 67}{space 3} .0139481
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0044861{col 26}{space 2} .0048176{col 37}{space 1}    0.93{col 46}{space 3}0.352{col 54}{space 4}-.0049759{col 67}{space 3} .0139481
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0008765{col 26}{space 2} .0057391{col 37}{space 1}   -0.15{col 46}{space 3}0.879{col 54}{space 4}-.0121483{col 67}{space 3} .0103952
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.015018{col 26}{space 2} .0078451{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.0304261{col 67}{space 3} .0003902
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0326273{col 26}{space 2} .0247248{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4}-.0811879{col 67}{space 3} .0159333
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0326273{col 26}{space 2} .0247248{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4}-.0811879{col 67}{space 3} .0159333
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0117939{col 26}{space 2} .0216677{col 37}{space 1}   -0.54{col 46}{space 3}0.586{col 54}{space 4}-.0543504{col 67}{space 3} .0307625
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0090394{col 26}{space 2} .0063776{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0034865{col 67}{space 3} .0215653
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0090394{col 26}{space 2} .0063776{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0034865{col 67}{space 3} .0215653
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0090394{col 26}{space 2} .0063776{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0034865{col 67}{space 3} .0215653
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .9938204{col 26}{space 2} .0080677{col 37}{space 1}  123.18{col 46}{space 3}0.000{col 54}{space 4} .9779751{col 67}{space 3} 1.009666
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetpost{col 14}{c |}{space 1}        6{col 27}{space 1}        0{col 39}{result}{space 1}        6{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 8.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 8.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 8.txt""':seeout}

{com}. 
{txt}end of do-file

{com}. do "$analyze\Table 9. Day of week.do"
{txt}
{com}. global infile "DataDaily.dta"
{txt}
{com}. global outfile "$results\Table 9"
{txt}
{com}. 
. 
. * Day-of-week estimates
. 
. use "$infile", clear
{txt}
{com}. gen logwpd = log(wpd+1)
{txt}
{com}. gen logwpd0 = log(wpd)
{txt}(272,836 missing values generated)

{com}. gen dwpd = (wpd > 0)
{txt}
{com}. 
. forvalues i = 1(1)7 {c -(}
{txt}  2{com}.         gen treatdow`i' = (dow == `i' & treat == 1)
{txt}  3{com}. {c )-}
{txt}
{com}. 
. reghdfe logwpd treatdow1-treatdow7 i.dow, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,651,385
{txt}Absorbing 2 HDFE groups{col 51}F({res}  13{txt},{res}    582{txt}){col 67}= {res}      8.88
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3400
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3392
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0010
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    1.4136

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      logwpd{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatdow1 {c |}{col 14}{res}{space 2}-.2819411{col 26}{space 2} .0604475{col 37}{space 1}   -4.66{col 46}{space 3}0.000{col 54}{space 4}-.4006629{col 67}{space 3}-.1632193
{txt}{space 3}treatdow2 {c |}{col 14}{res}{space 2}  -.30273{col 26}{space 2} .0605949{col 37}{space 1}   -5.00{col 46}{space 3}0.000{col 54}{space 4}-.4217413{col 67}{space 3}-.1837187
{txt}{space 3}treatdow3 {c |}{col 14}{res}{space 2} -.295222{col 26}{space 2} .0615515{col 37}{space 1}   -4.80{col 46}{space 3}0.000{col 54}{space 4}-.4161121{col 67}{space 3}-.1743319
{txt}{space 3}treatdow4 {c |}{col 14}{res}{space 2}-.3049223{col 26}{space 2} .0609921{col 37}{space 1}   -5.00{col 46}{space 3}0.000{col 54}{space 4}-.4247138{col 67}{space 3}-.1851309
{txt}{space 3}treatdow5 {c |}{col 14}{res}{space 2}-.3067897{col 26}{space 2} .0609015{col 37}{space 1}   -5.04{col 46}{space 3}0.000{col 54}{space 4}-.4264032{col 67}{space 3}-.1871762
{txt}{space 3}treatdow6 {c |}{col 14}{res}{space 2}-.2538727{col 26}{space 2} .0637659{col 37}{space 1}   -3.98{col 46}{space 3}0.000{col 54}{space 4} -.379112{col 67}{space 3}-.1286335
{txt}{space 3}treatdow7 {c |}{col 14}{res}{space 2}-.2030647{col 26}{space 2} .0642288{col 37}{space 1}   -3.16{col 46}{space 3}0.002{col 54}{space 4}-.3292132{col 67}{space 3}-.0769162
{txt}{space 12} {c |}
{space 9}dow {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0352104{col 26}{space 2} .0150748{col 37}{space 1}    2.34{col 46}{space 3}0.020{col 54}{space 4} .0056027{col 67}{space 3} .0648181
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0184368{col 26}{space 2}  .017097{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0151424{col 67}{space 3} .0520161
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0273903{col 26}{space 2} .0158848{col 37}{space 1}    1.72{col 46}{space 3}0.085{col 54}{space 4}-.0038082{col 67}{space 3} .0585887
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0075319{col 26}{space 2} .0190731{col 37}{space 1}    0.39{col 46}{space 3}0.693{col 54}{space 4}-.0299286{col 67}{space 3} .0449924
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1223381{col 26}{space 2}  .028911{col 37}{space 1}   -4.23{col 46}{space 3}0.000{col 54}{space 4}-.1791207{col 67}{space 3}-.0655555
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0619954{col 26}{space 2} .0303734{col 37}{space 1}   -2.04{col 46}{space 3}0.042{col 54}{space 4}-.1216502{col 67}{space 3}-.0023406
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.630228{col 26}{space 2} .0561878{col 37}{space 1}   64.61{col 46}{space 3}0.000{col 54}{space 4} 3.519873{col 67}{space 3} 3.740584
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", nocon 2aster dec(3) word replace
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 9.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 9.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 9.txt""':seeout}

{com}. 
. reghdfe logwpd0 treatdow1-treatdow7 i.dow, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,378,549
{txt}Absorbing 2 HDFE groups{col 51}F({res}  13{txt},{res}    582{txt}){col 67}= {res}     10.14
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.4699
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4691
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0025
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.7304

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     logwpd0{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatdow1 {c |}{col 14}{res}{space 2} -.154065{col 26}{space 2} .0367585{col 37}{space 1}   -4.19{col 46}{space 3}0.000{col 54}{space 4}-.2262605{col 67}{space 3}-.0818695
{txt}{space 3}treatdow2 {c |}{col 14}{res}{space 2}-.1623486{col 26}{space 2} .0365444{col 37}{space 1}   -4.44{col 46}{space 3}0.000{col 54}{space 4}-.2341236{col 67}{space 3}-.0905735
{txt}{space 3}treatdow3 {c |}{col 14}{res}{space 2}-.1555735{col 26}{space 2}   .03697{col 37}{space 1}   -4.21{col 46}{space 3}0.000{col 54}{space 4}-.2281843{col 67}{space 3}-.0829626
{txt}{space 3}treatdow4 {c |}{col 14}{res}{space 2}-.1562102{col 26}{space 2} .0366857{col 37}{space 1}   -4.26{col 46}{space 3}0.000{col 54}{space 4}-.2282626{col 67}{space 3}-.0841577
{txt}{space 3}treatdow5 {c |}{col 14}{res}{space 2}-.1689987{col 26}{space 2} .0365576{col 37}{space 1}   -4.62{col 46}{space 3}0.000{col 54}{space 4}-.2407996{col 67}{space 3}-.0971978
{txt}{space 3}treatdow6 {c |}{col 14}{res}{space 2}-.1490611{col 26}{space 2} .0367502{col 37}{space 1}   -4.06{col 46}{space 3}0.000{col 54}{space 4}-.2212402{col 67}{space 3} -.076882
{txt}{space 3}treatdow7 {c |}{col 14}{res}{space 2}-.1231484{col 26}{space 2} .0367601{col 37}{space 1}   -3.35{col 46}{space 3}0.001{col 54}{space 4} -.195347{col 67}{space 3}-.0509498
{txt}{space 12} {c |}
{space 9}dow {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0197899{col 26}{space 2} .0096412{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4}  .000854{col 67}{space 3} .0387257
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0094779{col 26}{space 2} .0099686{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.0101009{col 67}{space 3} .0290566
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0103327{col 26}{space 2} .0085821{col 37}{space 1}    1.20{col 46}{space 3}0.229{col 54}{space 4}-.0065231{col 67}{space 3} .0271884
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0341141{col 26}{space 2} .0109099{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0126865{col 67}{space 3} .0555417
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0542723{col 26}{space 2} .0127107{col 37}{space 1}    4.27{col 46}{space 3}0.000{col 54}{space 4} .0293079{col 67}{space 3} .0792367
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0711061{col 26}{space 2} .0128524{col 37}{space 1}    5.53{col 46}{space 3}0.000{col 54}{space 4} .0458635{col 67}{space 3} .0963488
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.105972{col 26}{space 2} .0341685{col 37}{space 1}  120.17{col 46}{space 3}0.000{col 54}{space 4} 4.038863{col 67}{space 3}  4.17308
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 9.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 9.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 9.txt""':seeout}

{com}. 
. reghdfe dwpd treatdow1-treatdow7 i.dow, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,651,385
{txt}Absorbing 2 HDFE groups{col 51}F({res}  13{txt},{res}    582{txt}){col 67}= {res}      8.11
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2098
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2088
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0018
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.3303

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        dwpd{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatdow1 {c |}{col 14}{res}{space 2}-.0397683{col 26}{space 2} .0122846{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4}-.0638958{col 67}{space 3}-.0156408
{txt}{space 3}treatdow2 {c |}{col 14}{res}{space 2}-.0429944{col 26}{space 2} .0123527{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4}-.0672556{col 67}{space 3}-.0187331
{txt}{space 3}treatdow3 {c |}{col 14}{res}{space 2}-.0424406{col 26}{space 2} .0123876{col 37}{space 1}   -3.43{col 46}{space 3}0.001{col 54}{space 4}-.0667704{col 67}{space 3}-.0181108
{txt}{space 3}treatdow4 {c |}{col 14}{res}{space 2}-.0450392{col 26}{space 2} .0124678{col 37}{space 1}   -3.61{col 46}{space 3}0.000{col 54}{space 4}-.0695265{col 67}{space 3}-.0205519
{txt}{space 3}treatdow5 {c |}{col 14}{res}{space 2}-.0419934{col 26}{space 2}  .012458{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-.0664615{col 67}{space 3}-.0175252
{txt}{space 3}treatdow6 {c |}{col 14}{res}{space 2}-.0335245{col 26}{space 2} .0130968{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-.0592472{col 67}{space 3}-.0078018
{txt}{space 3}treatdow7 {c |}{col 14}{res}{space 2}-.0244512{col 26}{space 2} .0132598{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.0504941{col 67}{space 3} .0015916
{txt}{space 12} {c |}
{space 9}dow {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0045964{col 26}{space 2} .0031699{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4}-.0016293{col 67}{space 3} .0108222
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0023617{col 26}{space 2} .0035366{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0045843{col 67}{space 3} .0093076
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0042693{col 26}{space 2} .0033733{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}-.0023561{col 67}{space 3} .0108947
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0062229{col 26}{space 2} .0041959{col 37}{space 1}   -1.48{col 46}{space 3}0.139{col 54}{space 4}-.0144638{col 67}{space 3} .0020181
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0434224{col 26}{space 2} .0069366{col 37}{space 1}   -6.26{col 46}{space 3}0.000{col 54}{space 4}-.0570462{col 67}{space 3}-.0297986
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0332192{col 26}{space 2} .0075146{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.0479783{col 67}{space 3}-.0184601
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .8810395{col 26}{space 2} .0114658{col 37}{space 1}   76.84{col 46}{space 3}0.000{col 54}{space 4} .8585201{col 67}{space 3} .9035589
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile", nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 9.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 9.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 9.txt""':seeout}

{com}. 
{txt}end of do-file

{com}. do "$analyze\Table 10. Bathroom.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results\Table 10"
{txt}
{com}. 
. 
. * Table 10. Before-after estimates by bathroom and kitchen
. 
. use "$infile", clear 
{txt}
{com}. keep if treated == 1 & dataset == 1
{txt}(208,880 observations deleted)

{com}. drop if logwbath == .
{txt}(2,700 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    24,120
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       402

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0433{col 63}{txt}min{col 67}={col 69}{res}        60
{txt}     between = {res}     .{col 63}{txt}avg{col 67}={col 69}{res}      60.0
{txt}     overall = {res}0.0214{col 63}{txt}max{col 67}={col 69}{res}        60

{txt}{col 49}F({res}12{txt},{res}401{txt}){col 67}={col 70}{res}    12.08
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:402} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2364473{col 26}{space 2} .0504148{col 37}{space 1}   -4.69{col 46}{space 3}0.000{col 54}{space 4}-.3355577{col 67}{space 3} -.137337
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0675763{col 26}{space 2} .0214739{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0253608{col 67}{space 3} .1097919
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0883611{col 26}{space 2} .0341641{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0211979{col 67}{space 3} .1555242
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .098712{col 26}{space 2} .0391595{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0217285{col 67}{space 3} .1756956
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0382695{col 26}{space 2} .0477267{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1320953{col 67}{space 3} .0555563
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1945025{col 26}{space 2} .0556328{col 37}{space 1}   -3.50{col 46}{space 3}0.001{col 54}{space 4} -.303871{col 67}{space 3}-.0851341
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2129807{col 26}{space 2} .0591866{col 37}{space 1}   -3.60{col 46}{space 3}0.000{col 54}{space 4}-.3293355{col 67}{space 3}-.0966258
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.1929209{col 26}{space 2} .0568378{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-.3046581{col 67}{space 3}-.0811836
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0911501{col 26}{space 2} .0466794{col 37}{space 1}   -1.95{col 46}{space 3}0.052{col 54}{space 4}-.1829171{col 67}{space 3} .0006169
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0268562{col 26}{space 2} .0414925{col 37}{space 1}   -0.65{col 46}{space 3}0.518{col 54}{space 4}-.1084263{col 67}{space 3} .0547139
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0019141{col 26}{space 2} .0390389{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-.0786606{col 67}{space 3} .0748324
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0072572{col 26}{space 2} .0327892{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.0717175{col 67}{space 3}  .057203
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.064507{col 26}{space 2}  .036522{col 37}{space 1}  111.29{col 46}{space 3}0.000{col 54}{space 4} 3.992709{col 67}{space 3} 4.136306
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  .8623276
     {txt}sigma_e {c |} {res} .84222893
         {txt}rho {c |} {res}  .5117895{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. leveleffects
{txt}(0 observations deleted)
(13,668 observations deleted)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(10,050 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        402     95.3193    92.99703   1.307692   1028.077

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        402    -20.2822    19.58262  -216.6953  -.4859366
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word replace ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 10.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 10.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 10.txt""':seeout}

{com}. 
. use "$infile", clear 
{txt}
{com}. replace water = wbath
{txt}(206,871 real changes made, 45,060 to missing)

{com}. replace logwater = logwbath
{txt}(206,871 real changes made, 45,060 to missing)

{com}. keep if treated == 1 & dataset == 1
{txt}(208,880 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    24,120
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       402

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0343{col 63}{txt}min{col 67}={col 69}{res}        60
{txt}     between = {res}     .{col 63}{txt}avg{col 67}={col 69}{res}      60.0
{txt}     overall = {res}0.0136{col 63}{txt}max{col 67}={col 69}{res}        60

{txt}{col 49}F({res}12{txt},{res}401{txt}){col 67}={col 70}{res}    10.94
{txt}corr(u_i, Xb){col 16}= {res}0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:402} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2146443{col 26}{space 2} .0533393{col 37}{space 1}   -4.02{col 46}{space 3}0.000{col 54}{space 4}-.3195039{col 67}{space 3}-.1097848
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0615299{col 26}{space 2}  .021669{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0189308{col 67}{space 3}  .104129
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0823971{col 26}{space 2} .0348429{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0138997{col 67}{space 3} .1508946
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0922559{col 26}{space 2} .0397962{col 37}{space 1}    2.32{col 46}{space 3}0.021{col 54}{space 4} .0140207{col 67}{space 3} .1704911
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0011638{col 26}{space 2} .0475577{col 37}{space 1}   -0.02{col 46}{space 3}0.980{col 54}{space 4}-.0946573{col 67}{space 3} .0923297
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1590827{col 26}{space 2}  .053715{col 37}{space 1}   -2.96{col 46}{space 3}0.003{col 54}{space 4}-.2646809{col 67}{space 3}-.0534845
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1716069{col 26}{space 2} .0569815{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-.2836267{col 67}{space 3} -.059587
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.1526043{col 26}{space 2}  .055303{col 37}{space 1}   -2.76{col 46}{space 3}0.006{col 54}{space 4}-.2613244{col 67}{space 3}-.0438842
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0566217{col 26}{space 2} .0453611{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4} -.145797{col 67}{space 3} .0325536
{txt}{space 9}10  {c |}{col 14}{res}{space 2} -.018759{col 26}{space 2} .0407506{col 37}{space 1}   -0.46{col 46}{space 3}0.646{col 54}{space 4}-.0988706{col 67}{space 3} .0613525
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0100921{col 26}{space 2} .0390888{col 37}{space 1}    0.26{col 46}{space 3}0.796{col 54}{space 4}-.0667525{col 67}{space 3} .0869367
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0033168{col 26}{space 2} .0336085{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-.0693875{col 67}{space 3}  .062754
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.455264{col 26}{space 2} .0375833{col 37}{space 1}   91.94{col 46}{space 3}0.000{col 54}{space 4}  3.38138{col 67}{space 3} 3.529149
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 1.0451465
     {txt}sigma_e {c |} {res} .83794309
         {txt}rho {c |} {res} .60871746{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. leveleffects
{txt}(0 observations deleted)
(15,198 observations deleted)
(1170 missing values generated)
(1,170 missing values generated)
(1170 missing values generated)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(11,175 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        402     61.7127    77.33856          0    1010.44

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        402   -12.11432    14.93962  -195.3815  -.1931717
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 10.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 10.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 10.txt""':seeout}

{com}. 
. use "$infile", clear 
{txt}
{com}. replace water = wkitchen
{txt}(223,712 real changes made, 45,060 to missing)

{com}. replace logwater = logwkitchen
{txt}(223,712 real changes made, 45,060 to missing)

{com}. keep if treated == 1 & dataset == 1
{txt}(208,880 observations deleted)

{com}. xtreg logwater treat i.moy, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    24,120
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       402

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0435{col 63}{txt}min{col 67}={col 69}{res}        60
{txt}     between = {res}     .{col 63}{txt}avg{col 67}={col 69}{res}      60.0
{txt}     overall = {res}0.0140{col 63}{txt}max{col 67}={col 69}{res}        60

{txt}{col 49}F({res}12{txt},{res}401{txt}){col 67}={col 70}{res}    11.26
{txt}corr(u_i, Xb){col 16}= {res}0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:402} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2397423{col 26}{space 2} .0453659{col 37}{space 1}   -5.28{col 46}{space 3}0.000{col 54}{space 4}-.3289269{col 67}{space 3}-.1505576
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0429413{col 26}{space 2}  .019641{col 37}{space 1}    2.19{col 46}{space 3}0.029{col 54}{space 4} .0043291{col 67}{space 3} .0815534
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0622182{col 26}{space 2} .0298447{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0035465{col 67}{space 3} .1208898
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0580043{col 26}{space 2} .0347939{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4} -.010397{col 67}{space 3} .1264056
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.1062402{col 26}{space 2} .0423872{col 37}{space 1}   -2.51{col 46}{space 3}0.013{col 54}{space 4}-.1895692{col 67}{space 3}-.0229112
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2323044{col 26}{space 2} .0491035{col 37}{space 1}   -4.73{col 46}{space 3}0.000{col 54}{space 4}-.3288367{col 67}{space 3} -.135772
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1755073{col 26}{space 2} .0534449{col 37}{space 1}   -3.28{col 46}{space 3}0.001{col 54}{space 4}-.2805744{col 67}{space 3}-.0704402
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.177663{col 26}{space 2} .0490545{col 37}{space 1}   -3.62{col 46}{space 3}0.000{col 54}{space 4}-.2740992{col 67}{space 3}-.0812269
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1343103{col 26}{space 2} .0412895{col 37}{space 1}   -3.25{col 46}{space 3}0.001{col 54}{space 4}-.2154813{col 67}{space 3}-.0531393
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0669494{col 26}{space 2} .0353567{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.1364571{col 67}{space 3} .0025583
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0471923{col 26}{space 2} .0314008{col 37}{space 1}   -1.50{col 46}{space 3}0.134{col 54}{space 4}-.1089231{col 67}{space 3} .0145385
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0168006{col 26}{space 2} .0269065{col 37}{space 1}   -0.62{col 46}{space 3}0.533{col 54}{space 4}-.0696961{col 67}{space 3} .0360948
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.866456{col 26}{space 2} .0321313{col 37}{space 1}   89.21{col 46}{space 3}0.000{col 54}{space 4} 2.803289{col 67}{space 3} 2.929623
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 1.1664904
     {txt}sigma_e {c |} {res} .79313969
         {txt}rho {c |} {res} .68384765{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. leveleffects
{txt}(0 observations deleted)
(15,198 observations deleted)
(1170 missing values generated)
(1,170 missing values generated)
(1170 missing values generated)

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(11,175 observations deleted)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        402     33.6066    36.05488          0   322.0879

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        402   -7.377067    7.685795  -68.87245  -.2131694
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 10.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 10.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 10.txt""':seeout}

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$analyze\Table 11. Cost benefit.do"
{txt}
{com}. * global map "c:\users\hanna\Dropbox\WaterUsage"
. global outfile "$results\Table 11A.xlsx"
{txt}
{com}. global outfile2 "$results\Table 11B.xlsx"
{txt}
{com}. 
. 
. * Inputs
. 
. scalar pre = 99.29
{txt}
{com}. scalar effect = 0.1790
{txt}
{com}. scalar deffect = 17.77
{txt}
{com}. scalar price = 0.09
{txt}
{com}. scalar pricecold = 0.03
{txt}
{com}. scalar usd = 8.6
{txt}
{com}. scalar instcost1 = 2000
{txt}
{com}. scalar instcost2 = 1500
{txt}
{com}. scalar maintain = 80
{txt}
{com}. scalar i = 0.05
{txt}
{com}. scalar kwhperl = 0.055
{txt}
{com}. scalar life = 15
{txt}
{com}. 
. 
. * Calculations
. 
. scalar freeride = 1/(1-effect)
{txt}
{com}. scalar dbilleffect = deffect*price
{txt}
{com}. scalar meffect = deffect*30
{txt}
{com}. scalar yeffect = deffect*365
{txt}
{com}. scalar deffectcold = deffect*3
{txt}
{com}. scalar mbilleffect = meffect*price
{txt}
{com}. scalar mbillpre = pre*30*price 
{txt}
{com}. scalar ybilleffect = yeffect*price
{txt}
{com}. scalar mbillpreusd = mbillpre/usd 
{txt}
{com}. scalar mbilleffect = meffect*price
{txt}
{com}. scalar mbilleffectusd = mbilleffect/usd 
{txt}
{com}. 
. scalar dwl = dbilleffect/2
{txt}
{com}. scalar pvinst = instcost1+instcost2/((1+i)^life-1)
{txt}
{com}. scalar ycostinst = pvinst*i 
{txt}
{com}. scalar ycost = ycostinst+maintain
{txt}
{com}. scalar dcost = ycost/365
{txt}
{com}. scalar persekdwl = dwl/dcost
{txt}
{com}. scalar persek = deffect/dcost
{txt}
{com}. scalar persekcold = persek*3
{txt}
{com}. scalar persekbilleffect = persek*price
{txt}
{com}. scalar persekvaluehot = persek*pricecold
{txt}
{com}. scalar persekvaluecold = persekcold*pricecold
{txt}
{com}. scalar persekkwh = persek*kwhperl
{txt}
{com}. scalar persekvaluekwh = persekbilleffect - persekvaluehot 
{txt}
{com}. 
. scalar persekwind = 1000/(24*usd) 
{txt}
{com}. scalar perseksolarthermal = 1000/(132*usd) 
{txt}
{com}. scalar persekchinalow = 1000/(250*usd) 
{txt}
{com}. scalar persekchinahigh = 1000/(150*usd) 
{txt}
{com}. 
. 
. * Section 2 - Institutionalia 
. 
. display mbillpre
{res}91.681317
{txt}
{com}. display mbillpreusd
{res}10.660618
{txt}
{com}. 
. 
. * Section 5 - Main estimates
. 
. display mbilleffect
{res}47.979
{txt}
{com}. display mbilleffectusd
{res}5.5789535
{txt}
{com}. display freeride
{res}.11832138
{txt}
{com}. 
. 
. * Section 6 - CBA. Table 11A. Water and energy
. 
. local number = ycost
{txt}
{com}. putexcel set "$outfile", sheet(example1) replace
{res}{txt}Note: file will be replaced when the first {cmd:putexcel} command is issued

{com}. putexcel A1 = "Variables"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B1 = "Standard case"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel A2 = "Yearly cost"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B2 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. local number = dcost
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A3 = "Daily cost"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B3 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. local number = dbilleffect
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A4 = "Daily bill effect"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B4 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. local number = dwl
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A5 = "DWL"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B5 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. display persekdwl
{res}1.1697657
{txt}
{com}. local number = persekdwl
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A6 = "DWL/SEK IMB"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B6 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. display persek
{res}25.994793
{txt}
{com}. local number = persek
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A7 = "Hot water l/SEK IMB"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B7 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. display persekvaluehot
{res}.77984379
{txt}
{com}. local number = persekvaluehot
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A8 = "Hot water value/SEK IMB"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B8 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. display persekbilleffect
{res}2.3395314
{txt}
{com}. local number = persekbilleffect
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A9 = "Bill effect/SEK IMB"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B9 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. local number = persekcold
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A10 = "Total water l/SEK IMB)"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B10 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. local number = persekvaluecold
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A11 = "Total water value/SEK IMB"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B11 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. local number = persekkwh
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A12 = "Energy kWh/SEK IMB"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B12 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. local number = persekvaluekwh
{txt}
{com}. putexcel set "$outfile", sheet(example1) modify
{res}{txt}
{com}. putexcel A13 = "Energy value/SEK IMB"
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. putexcel B13 = `number'
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11A.xlsx saved

{com}. 
. 
. * Section 6 - CBA. Table 11B. Energy and SSC
. 
. capture program drop CBA
{txt}
{com}. program CBA
{txt}  1{com}.     args nr co2perkwh scostco2usd
{txt}  2{com}.         global co2persek`nr' = persekkwh*`co2perkwh'
{txt}  3{com}.     global scostpersek`nr' = ${c -(}co2persek`nr'{c )-} * usd*`scostco2usd'
{txt}  4{com}. end
{txt}
{com}. 
. CBA 1 0.045 0.051
{txt}
{com}. CBA 2 0.045 0.12
{txt}
{com}. CBA 3 0.045 0.19
{txt}
{com}. CBA 4 0.045 0.34
{txt}
{com}. 
. CBA 5 0.298 0.051
{txt}
{com}. CBA 6 0.298 0.12
{txt}
{com}. CBA 7 0.298 0.19
{txt}
{com}. CBA 8 0.298 0.34
{txt}
{com}. 
. CBA 9 0.367 0.051
{txt}
{com}. CBA 10 0.367 0.12
{txt}
{com}. CBA 11 0.367 0.19
{txt}
{com}. CBA 12 0.367 0.34
{txt}
{com}. 
. CBA 13 0.436 0.051
{txt}
{com}. CBA 14 0.436 0.12
{txt}
{com}. CBA 15 0.436 0.19
{txt}
{com}. CBA 16 0.436 0.34
{txt}
{com}. 
. clear all
{res}{txt}
{com}. set obs 16
{txt}{p}
number of observations (_N)  was 0,
now 16
{p_end}

{com}. gen number = _n
{txt}
{com}. gen co2persek = .
{txt}(16 missing values generated)

{com}. gen scostpersek = .
{txt}(16 missing values generated)

{com}. 
. forvalues i = 1(1)16 {c -(}
{txt}  2{com}.         display ${c -(}co2persek`i'{c )-} 
{txt}  3{com}.         display ${c -(}scostpersek`i'{c )-}
{txt}  4{com}. {c )-}
.06433711
.02821826
.06433711
.0663959
.06433711
.10512684
.06433711
.18812172
.42605466
.18686757
.42605466
.43968841
.42605466
.69617331
.42605466
1.2457838
.5247049
.23013557
.5247049
.54149545
.5247049
.8573678
.5247049
1.5342371
.62335514
.27340356
.62335514
.6433025
.62335514
1.0185623
.62335514
1.8226904
{txt}
{com}. 
. forvalues i = 1(1)16 {c -(}
{txt}  2{com}.         replace co2persek = ${c -(}co2persek`i'{c )-} if _n == `i'
{txt}  3{com}.         replace scostpersek = ${c -(}scostpersek`i'{c )-} if _n == `i'
{txt}  4{com}. {c )-}
{txt}(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

{com}. 
. export excel using "$outfile2", replace
{res}{txt}file C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table 11B.xlsx saved

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
{txt}end of do-file

{com}. 
. do "$analyze\Table A1. Functional forms.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile "$results/Table A1A"
{txt}
{com}. global outfile2 "$results/Table A1B"
{txt}
{com}. 
. 
. * Create data with alternative functional forms
. 
. use "$infile", clear
{txt}
{com}. 
. sum water if water != 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}water {c |}{res}    225,882    76.88465    90.23726   .1428571       3173
{txt}
{com}. sum water, d

                            {txt}water
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res} 1.428571              0
{txt}10%    {res} 8.571428              0       {txt}Obs         {res}    235,700
{txt}25%    {res} 24.28572              0       {txt}Sum of Wgt. {res}    235,700

{txt}50%    {res}       50                      {txt}Mean          {res} 73.68204
                        {txt}Largest       Std. Dev.     {res} 89.66355
{txt}75%    {res} 92.28571           1760
{txt}90%    {res}      160       1798.571       {txt}Variance      {res} 8039.552
{txt}95%    {res} 218.5714       1805.714       {txt}Skewness      {res} 5.190169
{txt}99%    {res} 402.8571           3173       {txt}Kurtosis      {res} 56.54226
{txt}
{com}. display (24.28572/92.28571)^2
{res}.06925212
{txt}
{com}. 
. gen logwater01 = log(water+0.1)
{txt}
{com}. gen logwater10 = log(water+10)
{txt}
{com}. 
. gen invwater01 = asinh(water*0.1)
{txt}
{com}. gen invwater = asinh(water)
{txt}
{com}. gen invwater10 = asinh(water*10)
{txt}
{com}. 
. egen watermh = mean(water), by(home)
{txt}
{com}. egen waterm = mean(watermh), by(home)
{txt}
{com}. 
. gen waternorm = water/waterm
{txt}
{com}. 
. save "Temp", replace
{txt}file Temp.dta saved

{com}. 
. drop if week2 >= 34
{txt}(161,710 observations deleted)

{com}. 
. save "Temp2", replace
{txt}file Temp2.dta saved

{com}. 
. 
. * Full data results
. 
. use "Temp", clear
{txt}
{com}. reghdfe logwater10 treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     16.24
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0001
{txt}{col 51}R-squared{col 67}= {res}    0.6006
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5972
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0005
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.5368

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  logwater10{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1467167{col 26}{space 2} .0364098{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.2182273{col 67}{space 3} -.075206
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}   4.2055{col 26}{space 2} .0339805{col 37}{space 1}  123.76{col 46}{space 3}0.000{col 54}{space 4} 4.138761{col 67}{space 3}  4.27224
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(181,680 observations deleted)

{com}. keep if treat == 0
{txt}(41,174 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = (exp(_b[treat])-1)*(water+10)
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -14.91326    15.51582  -171.4843  -1.472917
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word replace ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     13.89
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0002
{txt}{col 51}R-squared{col 67}= {res}    0.5070
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5028
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.8794

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1950236{col 26}{space 2} .0523194{col 37}{space 1}   -3.73{col 46}{space 3}0.000{col 54}{space 4}-.2977814{col 67}{space 3}-.0922659
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.927971{col 26}{space 2} .0488286{col 37}{space 1}   80.44{col 46}{space 3}0.000{col 54}{space 4} 3.832069{col 67}{space 3} 4.023873
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(181,680 observations deleted)

{com}. keep if treat == 0
{txt}(41,174 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = (exp(_b[treat])-1)*(water+1)
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -17.76908    20.14612  -221.0648  -.3178077
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe logwater01 treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     10.99
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0010
{txt}{col 51}R-squared{col 67}= {res}    0.4226
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4177
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0002
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    1.2210

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  logwater01{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2208716{col 26}{space 2} .0666166{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-.3517099{col 67}{space 3}-.0900333
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.823081{col 26}{space 2} .0621719{col 37}{space 1}   61.49{col 46}{space 3}0.000{col 54}{space 4} 3.700972{col 67}{space 3}  3.94519
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(181,680 observations deleted)

{com}. keep if treat == 0
{txt}(41,174 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = (exp(_b[treat])-1)*(water+0.1)
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -19.69627    22.53335  -247.0815  -.1771041
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe invwater01 treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     16.46
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0001
{txt}{col 51}R-squared{col 67}= {res}    0.5863
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5828
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0005
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.6564

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  invwater01{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1753376{col 26}{space 2} .0432196{col 37}{space 1}   -4.06{col 46}{space 3}0.000{col 54}{space 4} -.260223{col 67}{space 3}-.0904523
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.390916{col 26}{space 2} .0403359{col 37}{space 1}   59.28{col 46}{space 3}0.000{col 54}{space 4} 2.311694{col 67}{space 3} 2.470137
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(181,680 observations deleted)

{com}. keep if treat == 0
{txt}(41,174 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = 10*sinh(_b[treat]+invwater01) - water
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -16.21492    18.17734  -200.5015  -1.767803
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe invwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     12.99
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0003
{txt}{col 51}R-squared{col 67}= {res}    0.4824
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4780
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.9875

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    invwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2059253{col 26}{space 2} .0571331{col 37}{space 1}   -3.60{col 46}{space 3}0.000{col 54}{space 4}-.3181376{col 67}{space 3} -.093713
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.567523{col 26}{space 2} .0533212{col 37}{space 1}   85.66{col 46}{space 3}0.000{col 54}{space 4} 4.462797{col 67}{space 3} 4.672248
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(181,680 observations deleted)

{com}. keep if treat == 0
{txt}(41,174 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = sinh(_b[treat]+invwater) - water
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -18.48589    21.15649  -232.0095  -.3010547
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe invwater10 treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     10.26
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0014
{txt}{col 51}R-squared{col 67}= {res}    0.4023
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3972
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0002
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    1.3294

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  invwater10{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2279124{col 26}{space 2} .0711562{col 37}{space 1}   -3.20{col 46}{space 3}0.001{col 54}{space 4}-.3676667{col 67}{space 3}-.0881581
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 6.792487{col 26}{space 2} .0664087{col 37}{space 1}  102.28{col 46}{space 3}0.000{col 54}{space 4} 6.662057{col 67}{space 3} 6.922917
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(181,680 observations deleted)

{com}. keep if treat == 0
{txt}(41,174 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = 0.1*sinh(_b[treat]+invwater10) - water
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583    -20.2356    23.17269  -254.0749  -.1772554
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe waternorm treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     19.36
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.1509
{txt}{col 51}Adj R-squared{col 67}= {res}    0.1437
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0009
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.6748

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   waternorm{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} -.237583{col 26}{space 2} .0540031{col 37}{space 1}   -4.40{col 46}{space 3}0.000{col 54}{space 4}-.3436476{col 67}{space 3}-.1315184
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.221731{col 26}{space 2}    .0504{col 37}{space 1}   24.24{col 46}{space 3}0.000{col 54}{space 4} 1.122743{col 67}{space 3} 1.320719
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(181,680 observations deleted)

{com}. keep if treat == 0
{txt}(41,174 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = _b[treat]*waterm
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -17.62114    19.28654  -294.9613  -.3665566
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. reghdfe water treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   235,700
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}      7.30
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0071
{txt}{col 51}R-squared{col 67}= {res}    0.7072
{txt}{col 51}Adj R-squared{col 67}= {res}    0.7047
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0004
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}   48.7265

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       water{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-11.00511{col 26}{space 2} 4.074193{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-19.00702{col 67}{space 3}-3.003194
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 83.95288{col 26}{space 2} 3.802361{col 37}{space 1}   22.08{col 46}{space 3}0.000{col 54}{space 4} 76.48486{col 67}{space 3} 91.42091
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      460{col 27}{space 1}        0{col 39}{result}{space 1}      460{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(181,680 observations deleted)

{com}. keep if treat == 0
{txt}(41,174 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = _b[treat]
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -11.00511           0  -11.00511  -11.00511
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1A.txt""':seeout}

{com}. 
. 
. * Event sample results
. 
. use "Temp2", clear
{txt}
{com}. reghdfe logwater10 treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    73,990
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     24.58
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.7020
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6951
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0022
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.4786

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  logwater10{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1582949{col 26}{space 2} .0319308{col 37}{space 1}   -4.96{col 46}{space 3}0.000{col 54}{space 4}-.2210085{col 67}{space 3}-.0955814
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.238331{col 26}{space 2} .0251441{col 37}{space 1}  168.56{col 46}{space 3}0.000{col 54}{space 4} 4.188946{col 67}{space 3} 4.287715
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      146{col 27}{space 1}        0{col 39}{result}{space 1}      146{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(41,322 observations deleted)

{com}. keep if treat == 0
{txt}(19,822 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = (exp(_b[treat])-1)*(water+10)
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -15.99963    16.64608  -183.9762  -1.580212
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word replace ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.txt""':seeout}

{com}. 
. use "Temp2", clear
{txt}
{com}. reghdfe logwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    73,990
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     18.45
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.5989
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5896
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0013
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.8014

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2065749{col 26}{space 2} .0480914{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-.3010286{col 67}{space 3}-.1121211
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  3.96707{col 26}{space 2} .0378699{col 37}{space 1}  104.76{col 46}{space 3}0.000{col 54}{space 4} 3.892692{col 67}{space 3} 4.041448
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      146{col 27}{space 1}        0{col 39}{result}{space 1}      146{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(41,322 observations deleted)

{com}. keep if treat == 0
{txt}(19,822 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = (exp(_b[treat])-1)*(water+1)
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -18.71676    21.22058  -232.8548  -.3347574
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.txt""':seeout}

{com}. 
. use "Temp2", clear
{txt}
{com}. reghdfe logwater01 treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    73,990
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     13.39
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0003
{txt}{col 51}R-squared{col 67}= {res}    0.5074
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4960
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0009
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    1.1257

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  logwater01{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} -.232906{col 26}{space 2} .0636426{col 37}{space 1}   -3.66{col 46}{space 3}0.000{col 54}{space 4}-.3579032{col 67}{space 3}-.1079088
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.866824{col 26}{space 2} .0501159{col 37}{space 1}   77.16{col 46}{space 3}0.000{col 54}{space 4} 3.768394{col 67}{space 3} 3.965254
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      146{col 27}{space 1}        0{col 39}{result}{space 1}      146{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(41,322 observations deleted)

{com}. keep if treat == 0
{txt}(19,822 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = (exp(_b[treat])-1)*(water+0.1)
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -20.64954    23.62392  -259.0399  -.1856756
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.txt""':seeout}

{com}. 
. use "Temp2", clear
{txt}
{com}. reghdfe invwater01 treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    73,990
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     23.95
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.6850
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6777
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0020
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.5873

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  invwater01{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.1862596{col 26}{space 2} .0380633{col 37}{space 1}   -4.89{col 46}{space 3}0.000{col 54}{space 4}-.2610177{col 67}{space 3}-.1115015
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}   2.4257{col 26}{space 2} .0299732{col 37}{space 1}   80.93{col 46}{space 3}0.000{col 54}{space 4} 2.366831{col 67}{space 3} 2.484569
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      146{col 27}{space 1}        0{col 39}{result}{space 1}      146{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(41,322 observations deleted)

{com}. keep if treat == 0
{txt}(19,822 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = 10*sinh(_b[treat]+invwater01) - water
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -17.13553    19.20694  -211.8658  -1.878349
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.txt""':seeout}

{com}. 
. use "Temp2", clear
{txt}
{com}. reghdfe invwater treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    73,990
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     16.74
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.5715
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5616
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0012
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.9037

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    invwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2177184{col 26}{space 2} .0532062{col 37}{space 1}   -4.09{col 46}{space 3}0.000{col 54}{space 4}-.3222178{col 67}{space 3}-.1132189
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.608574{col 26}{space 2} .0418976{col 37}{space 1}  110.00{col 46}{space 3}0.000{col 54}{space 4} 4.526286{col 67}{space 3} 4.690863
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      146{col 27}{space 1}        0{col 39}{result}{space 1}      146{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(41,322 observations deleted)

{com}. keep if treat == 0
{txt}(19,822 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = sinh(_b[treat]+invwater) - water
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -19.43375    22.24118  -243.9049  -.3175445
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.txt""':seeout}

{com}. 
. use "Temp2", clear
{txt}
{com}. reghdfe invwater10 treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    73,990
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     12.27
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0005
{txt}{col 51}R-squared{col 67}= {res}    0.4851
{txt}{col 51}Adj R-squared{col 67}= {res}    0.4732
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0008
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    1.2283

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  invwater10{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2400539{col 26}{space 2} .0685446{col 37}{space 1}   -3.50{col 46}{space 3}0.000{col 54}{space 4}-.3746788{col 67}{space 3}-.1054291
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 6.837477{col 26}{space 2}  .053976{col 37}{space 1}  126.68{col 46}{space 3}0.000{col 54}{space 4} 6.731466{col 67}{space 3} 6.943488
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      146{col 27}{space 1}        0{col 39}{result}{space 1}      146{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(41,322 observations deleted)

{com}. keep if treat == 0
{txt}(19,822 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = 0.1*sinh(_b[treat]+invwater10) - water
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -21.18962    24.26518  -266.0534  -.1857226
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.txt""':seeout}

{com}. 
. use "Temp2", clear
{txt}
{com}. reghdfe waternorm treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    73,990
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     25.02
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3570
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3422
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0024
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}    0.7169

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   waternorm{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2463313{col 26}{space 2} .0492417{col 37}{space 1}   -5.00{col 46}{space 3}0.000{col 54}{space 4}-.3430444{col 67}{space 3}-.1496182
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.279438{col 26}{space 2} .0387758{col 37}{space 1}   33.00{col 46}{space 3}0.000{col 54}{space 4} 1.203281{col 67}{space 3} 1.355595
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      146{col 27}{space 1}        0{col 39}{result}{space 1}      146{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(41,322 observations deleted)

{com}. keep if treat == 0
{txt}(19,822 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = _b[treat]*waterm
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -18.26999    19.99672  -305.8224   -.380054
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.txt""':seeout}

{com}. 
. use "Temp2", clear
{txt}
{com}. reghdfe water treat, absorb(datasethome datasetweek) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    73,990
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    582{txt}){col 67}= {res}     15.80
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0001
{txt}{col 51}R-squared{col 67}= {res}    0.8235
{txt}{col 51}Adj R-squared{col 67}= {res}    0.8195
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0020
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       583{txt}{col 51}Root MSE{col 67}= {res}   43.1493

{txt}{ralign 78:(Std. Err. adjusted for {res:583} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       water{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-13.47363{col 26}{space 2} 3.389772{col 37}{space 1}   -3.97{col 46}{space 3}0.000{col 54}{space 4}-20.13131{col 67}{space 3}-6.815956
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  90.3238{col 26}{space 2} 2.669302{col 37}{space 1}   33.84{col 46}{space 3}0.000{col 54}{space 4} 85.08116{col 67}{space 3} 95.56644
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} datasethome{col 14}{c |}{space 1}     1525{col 27}{space 1}     1525{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text} datasetweek{col 14}{c |}{space 1}      146{col 27}{space 1}        0{col 39}{result}{space 1}      146{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. keep if treated == 1
{txt}(41,322 observations deleted)

{com}. keep if treat == 0
{txt}(19,822 observations deleted)

{com}. egen pre = mean(water), by(home)
{txt}
{com}. gen effecthelp = _b[treat]
{txt}
{com}. egen effect = mean(effecthelp), by(home)
{txt}
{com}. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(12,263 observations deleted)

{com}. sum pre

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}pre {c |}{res}        583    99.28558    113.7012   .7936508   1246.651
{txt}
{com}. global prem = r(mean)
{txt}
{com}. sum effect

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}effect {c |}{res}        583   -13.47363           0  -13.47363  -13.47363
{txt}
{com}. global effectm = r(mean)
{txt}
{com}. global transbeta = $effectm/$prem*100
{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap ///
> addstat(pre, $prem, effect, $effectm, transbeta, $transbeta) 
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results/Table A1B.txt""':seeout}

{com}. 
. 
. 
. 
{txt}end of do-file

{com}. do "$analyze\Table A2. Mean reversion.do"
{txt}
{com}. global infile "DataMain.dta"
{txt}
{com}. global outfile1 "$results\Table A2A"
{txt}
{com}. global outfile2 "$results\Table A2B"
{txt}
{com}. global outfile3 "$results\Table A2C"
{txt}
{com}. 
. 
. * Create quartiles
. 
. use "$infile", clear
{txt}
{com}. drop if dupindicator == 1
{txt}(89,400 observations deleted)

{com}. 
. keep if year >= 2014
{txt}(55,352 observations deleted)

{com}. drop if m2 == .
{txt}(2,808 observations deleted)

{com}. gen m2water = water/m2
{txt}
{com}. 
. drop treat
{txt}
{com}. gen treat = 0
{txt}
{com}. replace treat = 1 if date >= mdy(1,1,2015)
{txt}(58,681 real changes made)

{com}. 
. egen M2waterb = mean(m2water) if treat == 0, by(home)
{txt}(58681 missing values generated)

{com}. egen m2waterb = mean(M2waterb), by(home)
{txt}
{com}. egen M2watera = mean(m2water) if treat == 1, by(home)
{txt}(29459 missing values generated)

{com}. egen m2watera = mean(M2watera), by(home)
{txt}
{com}. gen m2waterm = (m2waterb + m2watera)/2
{txt}
{com}. 
. duplicates drop home, force

{p 0 4}{txt}Duplicates in terms of {res} home{p_end}

{txt}(87,575 observations deleted)

{com}. 
. _pctile m2waterb, p(25)
{txt}
{com}. local p25 = r(r1)
{txt}
{com}. _pctile m2waterb, p(50)
{txt}
{com}. local p50 = r(r1)
{txt}
{com}. _pctile m2waterb, p(75)
{txt}
{com}. local p75 = r(r1)
{txt}
{com}. gen qb = .
{txt}(565 missing values generated)

{com}. replace qb = 1 if m2waterb <= `p25'
{txt}(142 real changes made)

{com}. replace qb = 2 if m2waterb > `p25' & m2waterb <= `p50' 
{txt}(141 real changes made)

{com}. replace qb = 3 if m2waterb > `p50' & m2waterb <= `p75' 
{txt}(140 real changes made)

{com}. replace qb = 4 if m2waterb > `p75' 
{txt}(142 real changes made)

{com}. 
. _pctile m2watera, p(25)
{txt}
{com}. local p25 = r(r1)
{txt}
{com}. _pctile m2watera, p(50)
{txt}
{com}. local p50 = r(r1)
{txt}
{com}. _pctile m2watera, p(75)
{txt}
{com}. local p75 = r(r1)
{txt}
{com}. gen qa = .
{txt}(565 missing values generated)

{com}. replace qa = 1 if m2watera <= `p25'
{txt}(142 real changes made)

{com}. replace qa = 2 if m2watera > `p25' & m2watera <= `p50' 
{txt}(141 real changes made)

{com}. replace qa = 3 if m2watera > `p50' & m2watera <= `p75' 
{txt}(140 real changes made)

{com}. replace qa = 4 if m2watera > `p75' 
{txt}(142 real changes made)

{com}. 
. _pctile m2waterm, p(25)
{txt}
{com}. local p25 = r(r1)
{txt}
{com}. _pctile m2waterm, p(50)
{txt}
{com}. local p50 = r(r1)
{txt}
{com}. _pctile m2waterm, p(75)
{txt}
{com}. local p75 = r(r1)
{txt}
{com}. gen qm = .
{txt}(565 missing values generated)

{com}. replace qm = 1 if m2waterm <= `p25'
{txt}(142 real changes made)

{com}. replace qm = 2 if m2waterm > `p25' & m2waterm <= `p50' 
{txt}(141 real changes made)

{com}. replace qm = 3 if m2waterm > `p50' & m2waterm <= `p75' 
{txt}(141 real changes made)

{com}. replace qm = 4 if m2waterm > `p75' 
{txt}(141 real changes made)

{com}. 
. keep home qb qa qm
{txt}
{com}. 
. save "Temp", replace
{txt}file Temp.dta saved

{com}. 
. 
. * Merging
. 
. use "$infile", clear
{txt}
{com}. keep if year >= 2014
{txt}(75,020 observations deleted)

{com}. drop if dupindicator == 1
{txt}(69,732 observations deleted)

{com}. merge m:1 home using "Temp", nogen
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,808
{txt}{col 9}from master{col 30}{res}           2,808{txt}  
{col 9}from using{col 30}{res}               0{txt}  

{col 5}matched{col 30}{res}          88,140{txt}  
{col 5}{hline 41}

{com}. save "Temp", replace
{txt}file Temp.dta saved

{com}. 
. 
. * Table A1A. Before-grouping
. 
. use "Temp", clear
{txt}
{com}. drop treat
{txt}
{com}. gen treat = 0
{txt}
{com}. replace treat = 1 if year >= 2015
{txt}(60,632 real changes made)

{com}. xtreg logwater treat i.moy if qb == 1, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    22,152
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       142

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0381{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0067{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0238{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}141{txt}){col 67}={col 70}{res}     6.84
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:142} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} .2307334{col 26}{space 2} .0574968{col 37}{space 1}    4.01{col 46}{space 3}0.000{col 54}{space 4} .1170661{col 67}{space 3} .3444007
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0206457{col 26}{space 2} .0277811{col 37}{space 1}    0.74{col 46}{space 3}0.459{col 54}{space 4}-.0342757{col 67}{space 3} .0755671
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0198736{col 26}{space 2} .0325276{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0444312{col 67}{space 3} .0841783
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .027758{col 26}{space 2} .0352387{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.0419066{col 67}{space 3} .0974226
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.057663{col 26}{space 2} .0440958{col 37}{space 1}   -1.31{col 46}{space 3}0.193{col 54}{space 4}-.1448374{col 67}{space 3} .0295115
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2246732{col 26}{space 2} .0546829{col 37}{space 1}   -4.11{col 46}{space 3}0.000{col 54}{space 4}-.3327776{col 67}{space 3}-.1165689
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3471982{col 26}{space 2} .0698945{col 37}{space 1}   -4.97{col 46}{space 3}0.000{col 54}{space 4}-.4853748{col 67}{space 3}-.2090216
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2761909{col 26}{space 2}  .058349{col 37}{space 1}   -4.73{col 46}{space 3}0.000{col 54}{space 4} -.391543{col 67}{space 3}-.1608389
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1161083{col 26}{space 2}  .048497{col 37}{space 1}   -2.39{col 46}{space 3}0.018{col 54}{space 4}-.2119835{col 67}{space 3}-.0202331
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0006093{col 26}{space 2}  .045069{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4}-.0884891{col 67}{space 3} .0897077
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0473527{col 26}{space 2} .0437501{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0391383{col 67}{space 3} .1338438
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0714357{col 26}{space 2} .0411105{col 37}{space 1}    1.74{col 46}{space 3}0.084{col 54}{space 4}-.0098369{col 67}{space 3} .1527083
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.684331{col 26}{space 2} .0530451{col 37}{space 1}   50.60{col 46}{space 3}0.000{col 54}{space 4} 2.579465{col 67}{space 3} 2.789198
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .68446601
     {txt}sigma_e {c |} {res} .86821447
         {txt}rho {c |} {res} .38329177{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile1", keep(treat) nocon 2aster dec(3) word replace
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.txt""':seeout}

{com}. xtreg logwater treat i.moy if qb == 2, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    21,996
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       141

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0163{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0014{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0112{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}140{txt}){col 67}={col 70}{res}     4.86
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:141} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} .0579063{col 26}{space 2} .0551023{col 37}{space 1}    1.05{col 46}{space 3}0.295{col 54}{space 4}-.0510339{col 67}{space 3} .1668465
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0034726{col 26}{space 2}  .025391{col 37}{space 1}   -0.14{col 46}{space 3}0.891{col 54}{space 4}-.0536719{col 67}{space 3} .0467268
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.033468{col 26}{space 2} .0396754{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4}-.1119084{col 67}{space 3} .0449724
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0251948{col 26}{space 2} .0386848{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.0512872{col 67}{space 3} .1016767
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.036142{col 26}{space 2} .0421997{col 37}{space 1}   -0.86{col 46}{space 3}0.393{col 54}{space 4} -.119573{col 67}{space 3} .0472889
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1777774{col 26}{space 2} .0474693{col 37}{space 1}   -3.75{col 46}{space 3}0.000{col 54}{space 4}-.2716267{col 67}{space 3}-.0839281
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3265366{col 26}{space 2} .0532425{col 37}{space 1}   -6.13{col 46}{space 3}0.000{col 54}{space 4}-.4317999{col 67}{space 3}-.2212734
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2315287{col 26}{space 2} .0515645{col 37}{space 1}   -4.49{col 46}{space 3}0.000{col 54}{space 4}-.3334745{col 67}{space 3}-.1295828
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1061401{col 26}{space 2} .0483364{col 37}{space 1}   -2.20{col 46}{space 3}0.030{col 54}{space 4}-.2017037{col 67}{space 3}-.0105765
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0476068{col 26}{space 2}  .042245{col 37}{space 1}   -1.13{col 46}{space 3}0.262{col 54}{space 4}-.1311273{col 67}{space 3} .0359138
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0464453{col 26}{space 2} .0392307{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-.1240064{col 67}{space 3} .0311159
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0277828{col 26}{space 2}  .041203{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.1092432{col 67}{space 3} .0536777
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.686141{col 26}{space 2} .0509644{col 37}{space 1}   72.33{col 46}{space 3}0.000{col 54}{space 4} 3.585382{col 67}{space 3}   3.7869
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .56830017
     {txt}sigma_e {c |} {res} .83114353
         {txt}rho {c |} {res} .31857994{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile1", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.txt""':seeout}

{com}. xtreg logwater treat i.moy if qb == 3, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    21,840
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       140

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0220{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0248{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0169{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}139{txt}){col 67}={col 70}{res}     7.72
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:140} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.0461055{col 26}{space 2}  .049162{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-.1433076{col 67}{space 3} .0510966
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0022117{col 26}{space 2} .0239717{col 37}{space 1}    0.09{col 46}{space 3}0.927{col 54}{space 4}-.0451847{col 67}{space 3} .0496081
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0353993{col 26}{space 2} .0299139{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.0237458{col 67}{space 3} .0945444
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0009152{col 26}{space 2} .0331346{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.0645978{col 67}{space 3} .0664283
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.092947{col 26}{space 2} .0421007{col 37}{space 1}   -2.21{col 46}{space 3}0.029{col 54}{space 4}-.1761875{col 67}{space 3}-.0097065
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1977847{col 26}{space 2} .0540999{col 37}{space 1}   -3.66{col 46}{space 3}0.000{col 54}{space 4}-.3047498{col 67}{space 3}-.0908195
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3647606{col 26}{space 2} .0554367{col 37}{space 1}   -6.58{col 46}{space 3}0.000{col 54}{space 4}-.4743689{col 67}{space 3}-.2551523
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2752809{col 26}{space 2} .0528674{col 37}{space 1}   -5.21{col 46}{space 3}0.000{col 54}{space 4}-.3798091{col 67}{space 3}-.1707527
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2219602{col 26}{space 2} .0522794{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.3253258{col 67}{space 3}-.1185946
{txt}{space 9}10  {c |}{col 14}{res}{space 2} -.107711{col 26}{space 2}   .04912{col 37}{space 1}   -2.19{col 46}{space 3}0.030{col 54}{space 4}  -.20483{col 67}{space 3}-.0105921
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0815062{col 26}{space 2}  .037221{col 37}{space 1}   -2.19{col 46}{space 3}0.030{col 54}{space 4}-.1550987{col 67}{space 3}-.0079137
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0773293{col 26}{space 2} .0359201{col 37}{space 1}   -2.15{col 46}{space 3}0.033{col 54}{space 4}-.1483497{col 67}{space 3} -.006309
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.095672{col 26}{space 2}  .045597{col 37}{space 1}   89.82{col 46}{space 3}0.000{col 54}{space 4} 4.005519{col 67}{space 3} 4.185826
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .44925687
     {txt}sigma_e {c |} {res} .81589929
         {txt}rho {c |} {res} .23265279{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile1", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.txt""':seeout}

{com}. xtreg logwater treat i.moy if qb == 4, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    22,152
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       142

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0390{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0170{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0252{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}141{txt}){col 67}={col 70}{res}     8.21
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:142} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2185978{col 26}{space 2} .0464168{col 37}{space 1}   -4.71{col 46}{space 3}0.000{col 54}{space 4}-.3103607{col 67}{space 3}-.1268348
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .015405{col 26}{space 2} .0262235{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4} -.036437{col 67}{space 3} .0672469
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0314576{col 26}{space 2} .0332638{col 37}{space 1}    0.95{col 46}{space 3}0.346{col 54}{space 4}-.0343027{col 67}{space 3} .0972179
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0226234{col 26}{space 2} .0434166{col 37}{space 1}   -0.52{col 46}{space 3}0.603{col 54}{space 4} -.108455{col 67}{space 3} .0632082
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0613119{col 26}{space 2} .0396949{col 37}{space 1}   -1.54{col 46}{space 3}0.125{col 54}{space 4}-.1397861{col 67}{space 3} .0171622
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2129687{col 26}{space 2} .0460749{col 37}{space 1}   -4.62{col 46}{space 3}0.000{col 54}{space 4}-.3040556{col 67}{space 3}-.1218819
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.438713{col 26}{space 2} .0602503{col 37}{space 1}   -7.28{col 46}{space 3}0.000{col 54}{space 4}-.5578238{col 67}{space 3}-.3196023
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2969962{col 26}{space 2} .0480018{col 37}{space 1}   -6.19{col 46}{space 3}0.000{col 54}{space 4}-.3918925{col 67}{space 3}-.2020999
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1805071{col 26}{space 2} .0391331{col 37}{space 1}   -4.61{col 46}{space 3}0.000{col 54}{space 4}-.2578705{col 67}{space 3}-.1031437
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1234127{col 26}{space 2} .0350417{col 37}{space 1}   -3.52{col 46}{space 3}0.001{col 54}{space 4}-.1926878{col 67}{space 3}-.0541376
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0844217{col 26}{space 2} .0378003{col 37}{space 1}   -2.23{col 46}{space 3}0.027{col 54}{space 4}-.1591504{col 67}{space 3} -.009693
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1030514{col 26}{space 2}  .037175{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}-.1765437{col 67}{space 3} -.029559
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.814984{col 26}{space 2} .0417825{col 37}{space 1}  115.24{col 46}{space 3}0.000{col 54}{space 4} 4.732383{col 67}{space 3} 4.897585
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .63721383
     {txt}sigma_e {c |} {res} .84650319
         {txt}rho {c |} {res} .36169443{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile1", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. drop treat
{txt}
{com}. gen treat = 0
{txt}
{com}. replace treat = 1 if year >= 2015 & cohort == 1
{txt}(46,488 real changes made)

{com}. reghdfe logwater treat if qb == 1 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    36,192
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    231{txt}){col 67}= {res}     10.05
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0017
{txt}{col 51}R-squared{col 67}= {res}    0.6064
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6021
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0066
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       232{txt}{col 51}Root MSE{col 67}= {res}    0.8239

{txt}{ralign 78:(Std. Err. adjusted for {res:232} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} .2872154{col 26}{space 2} .0906188{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .1086704{col 67}{space 3} .4657603
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  3.19998{col 26}{space 2} .0249983{col 37}{space 1}  128.01{col 46}{space 3}0.000{col 54}{space 4} 3.150726{col 67}{space 3} 3.249234
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      232{col 27}{space 1}      232{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile1", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.txt""':seeout}

{com}. reghdfe logwater i.week treat if qb == 2 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    37,284
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    238{txt}){col 67}= {res}      0.64
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.4252
{txt}{col 51}R-squared{col 67}= {res}    0.5404
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5354
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0004
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       239{txt}{col 51}Root MSE{col 67}= {res}    0.8058

{txt}{ralign 78:(Std. Err. adjusted for {res:239} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}122  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}123  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}124  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}125  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}126  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}127  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}128  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}129  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}130  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}131  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}132  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}133  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}134  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}136  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}143  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}144  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}145  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}146  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}147  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}149  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}150  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}152  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}153  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}154  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}155  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}157  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}158  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}159  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}160  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}162  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}165  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}166  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}167  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}168  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}169  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}170  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}171  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}172  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}173  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}174  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}175  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}176  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}177  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}178  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}179  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}180  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}181  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}182  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}183  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}184  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}185  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}186  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}187  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}188  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}189  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}190  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}191  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}192  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}193  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}194  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}195  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}196  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}197  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}198  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}199  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}200  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}201  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}202  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}205  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}206  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}207  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}208  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}209  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}210  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}212  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2} .0703018{col 26}{space 2} .0880139{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4} -.103084{col 67}{space 3} .2436875
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.618303{col 26}{space 2} .0252871{col 37}{space 1}  143.09{col 46}{space 3}0.000{col 54}{space 4} 3.568488{col 67}{space 3} 3.668118
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      239{col 27}{space 1}      239{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile1", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.txt""':seeout}

{com}. reghdfe logwater i.week treat if qb == 3 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    39,936
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    255{txt}){col 67}= {res}      0.83
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.3632
{txt}{col 51}R-squared{col 67}= {res}    0.5227
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5178
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0004
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       256{txt}{col 51}Root MSE{col 67}= {res}    0.7902

{txt}{ralign 78:(Std. Err. adjusted for {res:256} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}122  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}123  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}124  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}125  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}126  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}127  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}128  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}129  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}130  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}131  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}132  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}133  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}134  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}136  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}143  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}144  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}145  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}146  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}147  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}149  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}150  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}152  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}153  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}154  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}155  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}157  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}158  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}159  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}160  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}162  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}165  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}166  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}167  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}168  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}169  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}170  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}171  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}172  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}173  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}174  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}175  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}176  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}177  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}178  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}179  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}180  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}181  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}182  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}183  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}184  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}185  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}186  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}187  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}188  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}189  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}190  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}191  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}192  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}193  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}194  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}195  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}196  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}197  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}198  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}199  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}200  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}201  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}202  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}205  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}206  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}207  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}208  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}209  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}210  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}212  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2}-.0687117{col 26}{space 2} .0754293{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-.2172554{col 67}{space 3}  .079832
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.807604{col 26}{space 2} .0235717{col 37}{space 1}  161.53{col 46}{space 3}0.000{col 54}{space 4} 3.761184{col 67}{space 3} 3.854024
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      256{col 27}{space 1}      256{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile1", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.txt""':seeout}

{com}. reghdfe logwater i.week treat if qb == 4 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    40,404
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    258{txt}){col 67}= {res}      9.59
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0022
{txt}{col 51}R-squared{col 67}= {res}    0.5816
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5772
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0045
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       259{txt}{col 51}Root MSE{col 67}= {res}    0.8169

{txt}{ralign 78:(Std. Err. adjusted for {res:259} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}122  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}123  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}124  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}125  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}126  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}127  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}128  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}129  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}130  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}131  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}132  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}133  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}134  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}136  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}143  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}144  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}145  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}146  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}147  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}149  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}150  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}152  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}153  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}154  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}155  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}157  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}158  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}159  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}160  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}162  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}165  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}166  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}167  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}168  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}169  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}170  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}171  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}172  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}173  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}174  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}177  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}178  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}179  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}180  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}181  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}182  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}183  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}184  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}185  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}187  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}188  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}189  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}190  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}195  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}196  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}205  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}206  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}207  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}210  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}212  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2}-.2308177{col 26}{space 2} .0745184{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4}-.3775594{col 67}{space 3} -.084076
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.142383{col 26}{space 2} .0235927{col 37}{space 1}  175.58{col 46}{space 3}0.000{col 54}{space 4} 4.095925{col 67}{space 3} 4.188842
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      259{col 27}{space 1}      259{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile1", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2A.txt""':seeout}

{com}. 
. 
. * Table A1B. After-grouping
. 
. use "Temp", clear
{txt}
{com}. drop treat
{txt}
{com}. gen treat = 0
{txt}
{com}. replace treat = 1 if year >= 2015
{txt}(60,632 real changes made)

{com}. xtreg logwater treat i.moy if qa == 1, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    22,152
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       142

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0370{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0857{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0219{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}141{txt}){col 67}={col 70}{res}     5.35
{txt}corr(u_i, Xb){col 16}= {res}0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:142} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.2260431{col 26}{space 2} .0603232{col 37}{space 1}   -3.75{col 46}{space 3}0.000{col 54}{space 4}-.3452981{col 67}{space 3}-.1067882
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0582765{col 26}{space 2} .0258221{col 37}{space 1}   -2.26{col 46}{space 3}0.026{col 54}{space 4} -.109325{col 67}{space 3}-.0072279
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0352906{col 26}{space 2} .0322665{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4}-.0990793{col 67}{space 3}  .028498
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0085518{col 26}{space 2} .0329894{col 37}{space 1}   -0.26{col 46}{space 3}0.796{col 54}{space 4}-.0737695{col 67}{space 3} .0566659
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0705638{col 26}{space 2} .0385923{col 37}{space 1}   -1.83{col 46}{space 3}0.070{col 54}{space 4}-.1468582{col 67}{space 3} .0057306
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2415295{col 26}{space 2} .0509215{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-.3421978{col 67}{space 3}-.1408612
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3768226{col 26}{space 2}  .066804{col 37}{space 1}   -5.64{col 46}{space 3}0.000{col 54}{space 4}-.5088895{col 67}{space 3}-.2447556
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.3099664{col 26}{space 2}  .060777{col 37}{space 1}   -5.10{col 46}{space 3}0.000{col 54}{space 4}-.4301185{col 67}{space 3}-.1898144
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1584869{col 26}{space 2} .0483538{col 37}{space 1}   -3.28{col 46}{space 3}0.001{col 54}{space 4} -.254079{col 67}{space 3}-.0628948
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0989979{col 26}{space 2} .0435287{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4}-.1850512{col 67}{space 3}-.0129446
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0841233{col 26}{space 2} .0370605{col 37}{space 1}   -2.27{col 46}{space 3}0.025{col 54}{space 4}-.1573894{col 67}{space 3}-.0108572
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0901223{col 26}{space 2} .0373081{col 37}{space 1}   -2.42{col 46}{space 3}0.017{col 54}{space 4}-.1638779{col 67}{space 3}-.0163667
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.034583{col 26}{space 2} .0561706{col 37}{space 1}   54.02{col 46}{space 3}0.000{col 54}{space 4} 2.923538{col 67}{space 3} 3.145629
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .68163155
     {txt}sigma_e {c |} {res} .80669695
         {txt}rho {c |} {res} .41655842{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word replace
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.txt""':seeout}

{com}. xtreg logwater treat i.moy if qa == 2, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    21,996
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       141

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0228{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0053{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0166{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}140{txt}){col 67}={col 70}{res}     5.65
{txt}corr(u_i, Xb){col 16}= {res}0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:141} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}-.0546014{col 26}{space 2} .0445708{col 37}{space 1}   -1.23{col 46}{space 3}0.223{col 54}{space 4}-.1427202{col 67}{space 3} .0335175
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0337525{col 26}{space 2} .0284214{col 37}{space 1}    1.19{col 46}{space 3}0.237{col 54}{space 4}-.0224382{col 67}{space 3} .0899431
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0285352{col 26}{space 2} .0368158{col 37}{space 1}    0.78{col 46}{space 3}0.440{col 54}{space 4}-.0442515{col 67}{space 3} .1013219
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0073547{col 26}{space 2} .0400315{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0717897{col 67}{space 3} .0864991
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0588924{col 26}{space 2} .0400057{col 37}{space 1}   -1.47{col 46}{space 3}0.143{col 54}{space 4}-.1379859{col 67}{space 3} .0202011
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2129874{col 26}{space 2} .0466018{col 37}{space 1}   -4.57{col 46}{space 3}0.000{col 54}{space 4}-.3051217{col 67}{space 3} -.120853
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3554375{col 26}{space 2} .0564189{col 37}{space 1}   -6.30{col 46}{space 3}0.000{col 54}{space 4}-.4669807{col 67}{space 3}-.2438942
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2715122{col 26}{space 2} .0495477{col 37}{space 1}   -5.48{col 46}{space 3}0.000{col 54}{space 4}-.3694707{col 67}{space 3}-.1735536
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2053359{col 26}{space 2} .0448986{col 37}{space 1}   -4.57{col 46}{space 3}0.000{col 54}{space 4}-.2941028{col 67}{space 3} -.116569
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0808801{col 26}{space 2} .0412042{col 37}{space 1}   -1.96{col 46}{space 3}0.052{col 54}{space 4} -.162343{col 67}{space 3} .0005828
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0399891{col 26}{space 2} .0426168{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-.1242448{col 67}{space 3} .0442667
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0285903{col 26}{space 2} .0453335{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.1182171{col 67}{space 3} .0610365
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.719294{col 26}{space 2} .0453343{col 37}{space 1}   82.04{col 46}{space 3}0.000{col 54}{space 4} 3.629666{col 67}{space 3} 3.808923
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .51545261
     {txt}sigma_e {c |} {res} .83358141
         {txt}rho {c |} {res} .27660359{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.txt""':seeout}

{com}. xtreg logwater treat i.moy if qa == 3, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    21,840
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       140

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0231{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0005{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0187{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}139{txt}){col 67}={col 70}{res}     5.52
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:140} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}  .096901{col 26}{space 2} .0494289{col 37}{space 1}    1.96{col 46}{space 3}0.052{col 54}{space 4}-.0008286{col 67}{space 3} .1946307
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0208393{col 26}{space 2} .0254808{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-.0295408{col 67}{space 3} .0712194
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0237355{col 26}{space 2} .0318623{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0392619{col 67}{space 3} .0867329
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0192446{col 26}{space 2}  .034431{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4}-.0488317{col 67}{space 3} .0873208
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0477982{col 26}{space 2} .0378849{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.1227033{col 67}{space 3}  .027107
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1684476{col 26}{space 2} .0491294{col 37}{space 1}   -3.43{col 46}{space 3}0.001{col 54}{space 4}-.2655852{col 67}{space 3}  -.07131
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3631637{col 26}{space 2} .0558526{col 37}{space 1}   -6.50{col 46}{space 3}0.000{col 54}{space 4}-.4735942{col 67}{space 3}-.2527332
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.278662{col 26}{space 2} .0543328{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-.3860877{col 67}{space 3}-.1712363
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1357543{col 26}{space 2} .0519038{col 37}{space 1}   -2.62{col 46}{space 3}0.010{col 54}{space 4}-.2383772{col 67}{space 3}-.0331313
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0519519{col 26}{space 2} .0477247{col 37}{space 1}   -1.09{col 46}{space 3}0.278{col 54}{space 4} -.146312{col 67}{space 3} .0424083
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0380802{col 26}{space 2}  .040481{col 37}{space 1}   -0.94{col 46}{space 3}0.348{col 54}{space 4}-.1181184{col 67}{space 3}  .041958
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0061427{col 26}{space 2} .0377057{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-.0806935{col 67}{space 3} .0684081
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.991146{col 26}{space 2} .0437552{col 37}{space 1}   91.22{col 46}{space 3}0.000{col 54}{space 4} 3.904634{col 67}{space 3} 4.077657
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .41711614
     {txt}sigma_e {c |} {res} .84856065
         {txt}rho {c |} {res} .19460613{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.txt""':seeout}

{com}. xtreg logwater treat i.moy if qa == 4, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    22,152
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       142

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0312{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0001{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0213{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}141{txt}){col 67}={col 70}{res}     7.12
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:142} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} .2089018{col 26}{space 2} .0531722{col 37}{space 1}    3.93{col 46}{space 3}0.000{col 54}{space 4}  .103784{col 67}{space 3} .3140196
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .038999{col 26}{space 2} .0227649{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0060057{col 67}{space 3} .0840036
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0365548{col 26}{space 2} .0349364{col 37}{space 1}    1.05{col 46}{space 3}0.297{col 54}{space 4}-.0325121{col 67}{space 3} .1056218
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0133296{col 26}{space 2} .0431005{col 37}{space 1}    0.31{col 46}{space 3}0.758{col 54}{space 4}-.0718771{col 67}{space 3} .0985363
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0703338{col 26}{space 2} .0504516{col 37}{space 1}   -1.39{col 46}{space 3}0.165{col 54}{space 4}-.1700732{col 67}{space 3} .0294055
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1900743{col 26}{space 2} .0555625{col 37}{space 1}   -3.42{col 46}{space 3}0.001{col 54}{space 4}-.2999176{col 67}{space 3}-.0802311
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3819658{col 26}{space 2} .0609236{col 37}{space 1}   -6.27{col 46}{space 3}0.000{col 54}{space 4}-.5024076{col 67}{space 3} -.261524
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2201854{col 26}{space 2} .0452756{col 37}{space 1}   -4.86{col 46}{space 3}0.000{col 54}{space 4}-.3096922{col 67}{space 3}-.1306786
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1246231{col 26}{space 2} .0439973{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-.2116029{col 67}{space 3}-.0376434
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0457403{col 26}{space 2} .0404624{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.1257316{col 67}{space 3} .0342511
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0021707{col 26}{space 2} .0388138{col 37}{space 1}   -0.06{col 46}{space 3}0.955{col 54}{space 4}-.0789031{col 67}{space 3} .0745616
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0108755{col 26}{space 2} .0359766{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.0819987{col 67}{space 3} .0602477
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.534867{col 26}{space 2}  .046043{col 37}{space 1}   98.49{col 46}{space 3}0.000{col 54}{space 4} 4.443843{col 67}{space 3}  4.62589
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  .6065953
     {txt}sigma_e {c |} {res} .87432925
         {txt}rho {c |} {res} .32493357{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. drop treat
{txt}
{com}. gen treat = 0
{txt}
{com}. replace treat = 1 if year >= 2015 & cohort == 1
{txt}(46,488 real changes made)

{com}. reghdfe logwater i.week treat if qa == 1 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    35,724
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    228{txt}){col 67}= {res}      9.06
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0029
{txt}{col 51}R-squared{col 67}= {res}    0.6230
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6189
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0074
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       229{txt}{col 51}Root MSE{col 67}= {res}    0.8001

{txt}{ralign 78:(Std. Err. adjusted for {res:229} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}122  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}123  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}124  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}125  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}126  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}127  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}128  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}129  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}130  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}131  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}132  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}133  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}134  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}136  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}143  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}144  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}145  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}146  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}147  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}149  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}150  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}152  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}153  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}154  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}155  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}157  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}158  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}159  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}160  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}162  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}165  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}166  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}167  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}168  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}169  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}170  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}171  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}172  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}173  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}174  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}175  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}176  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}177  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}178  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}179  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}180  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}181  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}182  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}183  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}184  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}185  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}186  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}187  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}188  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}189  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}190  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}191  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}192  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}193  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}194  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}195  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}196  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}197  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}198  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}199  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}200  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}201  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}202  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}205  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}206  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}207  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}208  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}209  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}210  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}212  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2}-.2958601{col 26}{space 2} .0982866{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-.4895264{col 67}{space 3}-.1021938
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.342679{col 26}{space 2} .0266104{col 37}{space 1}  125.62{col 46}{space 3}0.000{col 54}{space 4} 3.290245{col 67}{space 3} 3.395112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      229{col 27}{space 1}      229{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.txt""':seeout}

{com}. reghdfe logwater i.week treat if qa == 2 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    37,908
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    242{txt}){col 67}= {res}      1.84
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.1759
{txt}{col 51}R-squared{col 67}= {res}    0.5267
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5217
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0009
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       243{txt}{col 51}Root MSE{col 67}= {res}    0.8104

{txt}{ralign 78:(Std. Err. adjusted for {res:243} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}122  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}123  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}124  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}125  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}126  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}127  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}128  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}129  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}130  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}131  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}132  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}133  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}134  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}136  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}143  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}144  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}145  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}146  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}147  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}149  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}150  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}152  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}153  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}154  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}155  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}157  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}158  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}159  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}160  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}162  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}165  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}166  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}167  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}168  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}169  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}170  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}171  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}172  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}173  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}174  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}175  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}176  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}177  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}178  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}179  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}180  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}181  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}182  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}183  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}184  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}185  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}186  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}187  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}188  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}189  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}190  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}191  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}192  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}193  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}194  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}195  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}196  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}197  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}198  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}199  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}200  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}201  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}202  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}205  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}206  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}207  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}208  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}209  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}210  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}212  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2}-.1012748{col 26}{space 2} .0746023{col 37}{space 1}   -1.36{col 46}{space 3}0.176{col 54}{space 4}-.2482276{col 67}{space 3} .0456779
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.636139{col 26}{space 2} .0218997{col 37}{space 1}  166.04{col 46}{space 3}0.000{col 54}{space 4} 3.593001{col 67}{space 3} 3.679277
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      243{col 27}{space 1}      243{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.txt""':seeout}

{com}. reghdfe logwater i.week treat if qa == 3 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    39,936
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    255{txt}){col 67}= {res}      1.58
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.2104
{txt}{col 51}R-squared{col 67}= {res}    0.5124
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5073
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0008
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       256{txt}{col 51}Root MSE{col 67}= {res}    0.7948

{txt}{ralign 78:(Std. Err. adjusted for {res:256} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}122  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}123  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}124  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}125  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}126  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}127  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}128  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}129  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}130  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}131  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}132  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}133  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}134  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}136  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}143  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}144  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}145  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}146  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}147  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}149  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}150  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}152  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}153  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}154  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}155  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}157  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}158  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}159  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}160  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}162  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}165  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}166  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}167  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}168  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}169  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}170  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}171  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}172  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}173  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}174  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}175  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}176  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}177  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}178  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}179  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}180  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}181  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}182  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}183  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}184  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}185  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}186  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}187  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}188  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}189  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}190  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}191  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}192  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}193  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}194  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}195  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}196  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}197  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}198  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}199  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}200  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}201  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}202  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}205  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}206  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}207  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}208  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}209  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}210  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}212  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2} .0948183{col 26}{space 2} .0755091{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0538826{col 67}{space 3} .2435191
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.779868{col 26}{space 2} .0235966{col 37}{space 1}  160.19{col 46}{space 3}0.000{col 54}{space 4} 3.733399{col 67}{space 3} 3.826337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      256{col 27}{space 1}      256{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.txt""':seeout}

{com}. reghdfe logwater i.week treat if qa == 4 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    40,248
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    257{txt}){col 67}= {res}      6.69
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0102
{txt}{col 51}R-squared{col 67}= {res}    0.5746
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5702
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0034
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       258{txt}{col 51}Root MSE{col 67}= {res}    0.8313

{txt}{ralign 78:(Std. Err. adjusted for {res:258} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2} .2061556{col 26}{space 2} .0797029{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0492017{col 67}{space 3} .3631096
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.023613{col 26}{space 2}  .025126{col 37}{space 1}  160.14{col 46}{space 3}0.000{col 54}{space 4} 3.974134{col 67}{space 3} 4.073092
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      258{col 27}{space 1}      258{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile2", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2B.txt""':seeout}

{com}. 
. 
. * Table A1B. Our grouping
. 
. use "Temp", clear
{txt}
{com}. drop treat
{txt}
{com}. gen treat = 0
{txt}
{com}. replace treat = 1 if year >= 2015
{txt}(60,632 real changes made)

{com}. xtreg logwater treat i.moy if qm == 1, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    22,152
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       142

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0253{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0221{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0144{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}141{txt}){col 67}={col 70}{res}     5.58
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:142} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} -.011028{col 26}{space 2}  .055656{col 37}{space 1}   -0.20{col 46}{space 3}0.843{col 54}{space 4} -.121056{col 67}{space 3}     .099
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0271875{col 26}{space 2} .0261133{col 37}{space 1}   -1.04{col 46}{space 3}0.300{col 54}{space 4}-.0788117{col 67}{space 3} .0244368
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0107684{col 26}{space 2} .0297046{col 37}{space 1}   -0.36{col 46}{space 3}0.718{col 54}{space 4}-.0694925{col 67}{space 3} .0479556
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0107824{col 26}{space 2} .0302752{col 37}{space 1}    0.36{col 46}{space 3}0.722{col 54}{space 4}-.0490696{col 67}{space 3} .0706345
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0717427{col 26}{space 2} .0376503{col 37}{space 1}   -1.91{col 46}{space 3}0.059{col 54}{space 4}-.1461747{col 67}{space 3} .0026893
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2572677{col 26}{space 2} .0519051{col 37}{space 1}   -4.96{col 46}{space 3}0.000{col 54}{space 4}-.3598804{col 67}{space 3}-.1546549
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3857876{col 26}{space 2} .0702699{col 37}{space 1}   -5.49{col 46}{space 3}0.000{col 54}{space 4}-.5247063{col 67}{space 3}-.2468689
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.3107867{col 26}{space 2} .0600741{col 37}{space 1}   -5.17{col 46}{space 3}0.000{col 54}{space 4}-.4295491{col 67}{space 3}-.1920244
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1403373{col 26}{space 2} .0468841{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-.2330239{col 67}{space 3}-.0476506
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0531605{col 26}{space 2}  .043791{col 37}{space 1}   -1.21{col 46}{space 3}0.227{col 54}{space 4}-.1397323{col 67}{space 3} .0334113
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0115758{col 26}{space 2} .0400306{col 37}{space 1}   -0.29{col 46}{space 3}0.773{col 54}{space 4}-.0907135{col 67}{space 3} .0675619
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0350125{col 26}{space 2}  .039101{col 37}{space 1}   -0.90{col 46}{space 3}0.372{col 54}{space 4}-.1123126{col 67}{space 3} .0422876
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.862013{col 26}{space 2} .0538709{col 37}{space 1}   53.13{col 46}{space 3}0.000{col 54}{space 4} 2.755514{col 67}{space 3} 2.968512
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .71823426
     {txt}sigma_e {c |} {res} .81188825
         {txt}rho {c |} {res} .43902158{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile3", keep(treat) nocon 2aster dec(3) word replace
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.txt""':seeout}

{com}. xtreg logwater treat i.moy if qm == 2, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    21,996
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       141

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0127{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0004{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0100{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}140{txt}){col 67}={col 70}{res}     4.87
{txt}corr(u_i, Xb){col 16}= {res}0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:141} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} .0177263{col 26}{space 2} .0555545{col 37}{space 1}    0.32{col 46}{space 3}0.750{col 54}{space 4}-.0921079{col 67}{space 3} .1275605
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0059883{col 26}{space 2} .0272893{col 37}{space 1}   -0.22{col 46}{space 3}0.827{col 54}{space 4}-.0599408{col 67}{space 3} .0479642
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0117079{col 26}{space 2} .0378728{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4}-.0865845{col 67}{space 3} .0631688
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0103125{col 26}{space 2} .0373589{col 37}{space 1}    0.28{col 46}{space 3}0.783{col 54}{space 4} -.063548{col 67}{space 3} .0841731
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0193824{col 26}{space 2} .0419456{col 37}{space 1}   -0.46{col 46}{space 3}0.645{col 54}{space 4}-.1023111{col 67}{space 3} .0635463
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1525268{col 26}{space 2} .0430749{col 37}{space 1}   -3.54{col 46}{space 3}0.001{col 54}{space 4}-.2376881{col 67}{space 3}-.0673655
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2809524{col 26}{space 2} .0473698{col 37}{space 1}   -5.93{col 46}{space 3}0.000{col 54}{space 4}-.3746051{col 67}{space 3}-.1872997
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2128332{col 26}{space 2} .0477165{col 37}{space 1}   -4.46{col 46}{space 3}0.000{col 54}{space 4}-.3071713{col 67}{space 3}-.1184951
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1400087{col 26}{space 2}  .045824{col 37}{space 1}   -3.06{col 46}{space 3}0.003{col 54}{space 4}-.2306052{col 67}{space 3}-.0494121
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0278296{col 26}{space 2} .0382161{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-.1033848{col 67}{space 3} .0477257
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0111644{col 26}{space 2} .0380109{col 37}{space 1}   -0.29{col 46}{space 3}0.769{col 54}{space 4} -.086314{col 67}{space 3} .0639852
{txt}{space 9}12  {c |}{col 14}{res}{space 2}  .026968{col 26}{space 2} .0422066{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-.0564768{col 67}{space 3} .1104128
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.627027{col 26}{space 2} .0482934{col 37}{space 1}   75.10{col 46}{space 3}0.000{col 54}{space 4} 3.531548{col 67}{space 3} 3.722505
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .44989621
     {txt}sigma_e {c |} {res} .86172193
         {txt}rho {c |} {res} .21419339{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile3", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.txt""':seeout}

{com}. xtreg logwater treat i.moy if qm == 3, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    21,996
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       141

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0269{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0003{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0216{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}140{txt}){col 67}={col 70}{res}     6.55
{txt}corr(u_i, Xb){col 16}= {res}0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:141} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} .0149491{col 26}{space 2} .0482087{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-.0803622{col 67}{space 3} .1102603
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0404576{col 26}{space 2} .0217139{col 37}{space 1}    1.86{col 46}{space 3}0.065{col 54}{space 4} -.002472{col 67}{space 3} .0833872
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .025006{col 26}{space 2} .0329212{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4} -.040081{col 67}{space 3}  .090093
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0049251{col 26}{space 2} .0372699{col 37}{space 1}   -0.13{col 46}{space 3}0.895{col 54}{space 4}-.0786097{col 67}{space 3} .0687594
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.1207936{col 26}{space 2} .0423749{col 37}{space 1}   -2.85{col 46}{space 3}0.005{col 54}{space 4} -.204571{col 67}{space 3}-.0370162
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2258122{col 26}{space 2} .0542367{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.3330411{col 67}{space 3}-.1185833
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.4285471{col 26}{space 2} .0616598{col 37}{space 1}   -6.95{col 46}{space 3}0.000{col 54}{space 4}-.5504517{col 67}{space 3}-.3066424
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.3188617{col 26}{space 2}  .055038{col 37}{space 1}   -5.79{col 46}{space 3}0.000{col 54}{space 4}-.4276749{col 67}{space 3}-.2100485
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1868356{col 26}{space 2} .0527898{col 37}{space 1}   -3.54{col 46}{space 3}0.001{col 54}{space 4}-.2912038{col 67}{space 3}-.0824674
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1183053{col 26}{space 2} .0512069{col 37}{space 1}   -2.31{col 46}{space 3}0.022{col 54}{space 4}-.2195442{col 67}{space 3}-.0170664
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.114275{col 26}{space 2} .0397172{col 37}{space 1}   -2.88{col 46}{space 3}0.005{col 54}{space 4} -.192798{col 67}{space 3}-.0357519
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0922323{col 26}{space 2} .0367739{col 37}{space 1}   -2.51{col 46}{space 3}0.013{col 54}{space 4}-.1649363{col 67}{space 3}-.0195284
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.124516{col 26}{space 2} .0457808{col 37}{space 1}   90.09{col 46}{space 3}0.000{col 54}{space 4} 4.034005{col 67}{space 3} 4.215027
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .41501887
     {txt}sigma_e {c |} {res} .82848542
         {txt}rho {c |} {res} .20059969{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile3", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.txt""':seeout}

{com}. xtreg logwater treat i.moy if qm == 4, fe i(home) cluster(home)
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    21,996
{txt}Group variable: {res}home{txt}{col 49}Number of groups{col 67}={col 69}{res}       141

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0196{col 63}{txt}min{col 67}={col 69}{res}       156
{txt}     between = {res}0.0004{col 63}{txt}avg{col 67}={col 69}{res}     156.0
{txt}     overall = {res}0.0134{col 63}{txt}max{col 67}={col 69}{res}       156

{txt}{col 49}F({res}12{txt},{res}140{txt}){col 67}={col 70}{res}     5.61
{txt}corr(u_i, Xb){col 16}= {res}-0.0000{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:141} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} .0027803{col 26}{space 2} .0562713{col 37}{space 1}    0.05{col 46}{space 3}0.961{col 54}{space 4}-.1084712{col 67}{space 3} .1140317
{txt}{space 12} {c |}
{space 9}moy {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0279407{col 26}{space 2} .0276713{col 37}{space 1}    1.01{col 46}{space 3}0.314{col 54}{space 4} -.026767{col 67}{space 3} .0826483
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0509221{col 26}{space 2} .0352229{col 37}{space 1}    1.45{col 46}{space 3}0.150{col 54}{space 4}-.0187153{col 67}{space 3} .1205596
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0150282{col 26}{space 2} .0452356{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.0744049{col 67}{space 3} .1044613
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.035821{col 26}{space 2} .0455428{col 37}{space 1}   -0.79{col 46}{space 3}0.433{col 54}{space 4}-.1258616{col 67}{space 3} .0542196
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1774739{col 26}{space 2}  .052499{col 37}{space 1}   -3.38{col 46}{space 3}0.001{col 54}{space 4}-.2812672{col 67}{space 3}-.0736806
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3821722{col 26}{space 2} .0584343{col 37}{space 1}   -6.54{col 46}{space 3}0.000{col 54}{space 4}-.4976999{col 67}{space 3}-.2666444
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2374238{col 26}{space 2} .0468441{col 37}{space 1}   -5.07{col 46}{space 3}0.000{col 54}{space 4}-.3300371{col 67}{space 3}-.1448104
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1570685{col 26}{space 2} .0436748{col 37}{space 1}   -3.60{col 46}{space 3}0.000{col 54}{space 4} -.243416{col 67}{space 3}-.0707209
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0785558{col 26}{space 2} .0384624{col 37}{space 1}   -2.04{col 46}{space 3}0.043{col 54}{space 4}-.1545982{col 67}{space 3}-.0025135
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.027608{col 26}{space 2}  .040954{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.1085764{col 67}{space 3} .0533603
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0358784{col 26}{space 2} .0384475{col 37}{space 1}   -0.93{col 46}{space 3}0.352{col 54}{space 4}-.1118913{col 67}{space 3} .0401345
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.671414{col 26}{space 2} .0486353{col 37}{space 1}   96.05{col 46}{space 3}0.000{col 54}{space 4}  4.57526{col 67}{space 3} 4.767569
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .59927617
     {txt}sigma_e {c |} {res} .87423325
         {txt}rho {c |} {res} .31967857{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. outreg2 using "$outfile3", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.txt""':seeout}

{com}. 
. use "Temp", clear
{txt}
{com}. drop treat
{txt}
{com}. gen treat = 0
{txt}
{com}. replace treat = 1 if year >= 2015 & cohort == 1
{txt}(46,488 real changes made)

{com}. reghdfe logwater i.week treat if qm == 1 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    35,412
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    226{txt}){col 67}= {res}      0.29
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.5900
{txt}{col 51}R-squared{col 67}= {res}    0.6284
{txt}{col 51}Adj R-squared{col 67}= {res}    0.6243
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0002
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       227{txt}{col 51}Root MSE{col 67}= {res}    0.8050

{txt}{ralign 78:(Std. Err. adjusted for {res:227} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}122  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}123  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}124  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}125  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}126  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}127  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}128  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}129  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}130  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}131  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}132  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}133  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}134  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}136  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}143  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}144  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}145  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}146  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}147  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}149  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}150  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}152  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}153  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}154  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}155  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}157  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}158  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}159  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}160  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}162  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}165  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}166  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}167  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}168  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}169  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}170  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}171  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}172  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}173  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}174  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}175  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}176  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}177  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}178  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}179  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}180  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}181  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}182  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}183  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}184  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}185  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}186  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}187  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}188  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}189  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}190  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}191  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}192  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}193  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}194  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}195  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}196  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}197  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}198  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}199  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}200  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}201  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}202  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}205  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}206  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}207  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}208  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}209  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}210  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}212  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2}-.0496864{col 26}{space 2} .0920907{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-.2311526{col 67}{space 3} .1317798
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.264895{col 26}{space 2} .0246116{col 37}{space 1}  132.66{col 46}{space 3}0.000{col 54}{space 4} 3.216397{col 67}{space 3} 3.313393
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      227{col 27}{space 1}      227{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile3", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.txt""':seeout}

{com}. reghdfe logwater i.week treat if qm == 2 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    38,376
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    245{txt}){col 67}= {res}      0.04
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.8375
{txt}{col 51}R-squared{col 67}= {res}    0.5089
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5037
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0000
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       246{txt}{col 51}Root MSE{col 67}= {res}    0.8116

{txt}{ralign 78:(Std. Err. adjusted for {res:246} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}122  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}123  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}124  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}125  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}126  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}127  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}128  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}129  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}130  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}131  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}132  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}133  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}134  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}136  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}143  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}144  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}145  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}146  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}147  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}149  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}150  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}152  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}153  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}154  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}155  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}157  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}158  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}159  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}160  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}162  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}165  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}166  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}167  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}168  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}169  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}170  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}171  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}172  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}173  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}174  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}175  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}176  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}177  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}178  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}179  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}180  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}181  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}182  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}183  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}184  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}185  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}186  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}187  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}188  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}189  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}190  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}191  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}192  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}193  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}194  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}195  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}196  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}197  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}198  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}199  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}200  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}201  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}202  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}205  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}206  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}207  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}208  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}209  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}210  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}212  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2} .0175406{col 26}{space 2} .0854519{col 37}{space 1}    0.21{col 46}{space 3}0.838{col 54}{space 4}-.1507734{col 67}{space 3} .1858546
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.600643{col 26}{space 2} .0254735{col 37}{space 1}  141.35{col 46}{space 3}0.000{col 54}{space 4} 3.550468{col 67}{space 3} 3.650818
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      246{col 27}{space 1}      246{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile3", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.txt""':seeout}

{com}. reghdfe logwater i.week treat if qm == 3 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    39,936
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    255{txt}){col 67}= {res}      0.21
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.6508
{txt}{col 51}R-squared{col 67}= {res}    0.5145
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5094
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0001
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       256{txt}{col 51}Root MSE{col 67}= {res}    0.7981

{txt}{ralign 78:(Std. Err. adjusted for {res:256} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}118  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}119  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}120  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}121  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}122  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}123  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}124  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}125  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}126  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}127  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}128  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}129  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}130  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}131  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}132  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}133  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}134  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}135  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}136  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}137  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}138  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}139  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}140  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}141  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}142  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}143  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}144  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}145  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}146  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}147  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}148  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}149  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}150  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}151  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}152  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}153  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}154  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}155  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}156  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}157  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}158  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}159  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}160  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}161  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}162  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}163  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}164  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}165  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}166  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}167  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}168  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}169  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}170  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}171  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}172  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}173  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}174  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}175  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}176  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}177  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}178  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}179  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}180  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}181  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}182  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}183  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}184  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}185  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}186  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}187  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}188  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}189  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}190  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}191  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}192  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}193  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}194  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}195  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}196  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}197  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}198  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}199  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}200  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}201  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}202  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}203  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}204  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}205  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}206  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}207  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}208  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}209  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}210  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}211  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}212  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}213  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}215  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}217  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}218  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}219  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}220  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}221  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}222  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}223  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}224  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}225  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}226  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}227  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}228  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}229  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}230  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}231  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}232  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}233  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2} .0341773{col 26}{space 2} .0754131{col 37}{space 1}    0.45{col 46}{space 3}0.651{col 54}{space 4}-.1143345{col 67}{space 3}  .182689
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.814713{col 26}{space 2} .0235666{col 37}{space 1}  161.87{col 46}{space 3}0.000{col 54}{space 4} 3.768303{col 67}{space 3} 3.861123
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      256{col 27}{space 1}      256{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile3", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.txt""':seeout}

{com}. reghdfe logwater i.week treat if qm == 4 | cohort != 1, absorb(home week) cluster(home)
{res}{txt}note: {res}79bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}80bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}81bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}82bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}83bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}84bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}85bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}86bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}87bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}88bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}89bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}90bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}91bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}92bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}93bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}94bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}95bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}96bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}97bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}98bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}99bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}100bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}101bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}102bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}103bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}104bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}105bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}106bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}107bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}108bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}109bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}110bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}111bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}112bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}113bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}114bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}115bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}116bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}117bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}118bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}119bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}120bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}121bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}122bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}123bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}124bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}125bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}126bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}127bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}128bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}129bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}130bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}131bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}132bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}133bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}134bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}135bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}136bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}137bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}138bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}139bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}140bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}141bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}142bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}143bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}144bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}145bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}146bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}147bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}148bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}149bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}150bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}151bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}152bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}153bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}154bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}155bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}156bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}157bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}158bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}159bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}160bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}161bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}162bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}163bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}164bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}165bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}166bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}167bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}168bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}169bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}170bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}171bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}172bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}173bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}174bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}175bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}176bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}177bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}178bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}179bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}180bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}181bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}182bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}183bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}184bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}185bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}186bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}187bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}188bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}189bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}190bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}191bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}192bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}193bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}194bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}195bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}196bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}197bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}198bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}199bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}200bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}201bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}202bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}203bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}204bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}205bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}206bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}207bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}208bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}209bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}210bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}211bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}212bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}213bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}214bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}215bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}216bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}217bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}218bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}219bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}220bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}221bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}222bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}223bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}224bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}225bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}226bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}227bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}228bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}229bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}230bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}231bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}232bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}233bn.week{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 2 iterations)
{res}{txt}note: 79.week omitted because of collinearity
{txt}note: 80.week omitted because of collinearity
{txt}note: 81.week omitted because of collinearity
{txt}note: 82.week omitted because of collinearity
{txt}note: 83.week omitted because of collinearity
{txt}note: 84.week omitted because of collinearity
{txt}note: 85.week omitted because of collinearity
{txt}note: 86.week omitted because of collinearity
{txt}note: 87.week omitted because of collinearity
{txt}note: 88.week omitted because of collinearity
{txt}note: 89.week omitted because of collinearity
{txt}note: 90.week omitted because of collinearity
{txt}note: 91.week omitted because of collinearity
{txt}note: 92.week omitted because of collinearity
{txt}note: 93.week omitted because of collinearity
{txt}note: 94.week omitted because of collinearity
{txt}note: 95.week omitted because of collinearity
{txt}note: 96.week omitted because of collinearity
{txt}note: 97.week omitted because of collinearity
{txt}note: 98.week omitted because of collinearity
{txt}note: 99.week omitted because of collinearity
{txt}note: 100.week omitted because of collinearity
{txt}note: 101.week omitted because of collinearity
{txt}note: 102.week omitted because of collinearity
{txt}note: 103.week omitted because of collinearity
{txt}note: 104.week omitted because of collinearity
{txt}note: 105.week omitted because of collinearity
{txt}note: 106.week omitted because of collinearity
{txt}note: 107.week omitted because of collinearity
{txt}note: 108.week omitted because of collinearity
{txt}note: 109.week omitted because of collinearity
{txt}note: 110.week omitted because of collinearity
{txt}note: 111.week omitted because of collinearity
{txt}note: 112.week omitted because of collinearity
{txt}note: 113.week omitted because of collinearity
{txt}note: 114.week omitted because of collinearity
{txt}note: 115.week omitted because of collinearity
{txt}note: 116.week omitted because of collinearity
{txt}note: 117.week omitted because of collinearity
{txt}note: 118.week omitted because of collinearity
{txt}note: 119.week omitted because of collinearity
{txt}note: 120.week omitted because of collinearity
{txt}note: 121.week omitted because of collinearity
{txt}note: 122.week omitted because of collinearity
{txt}note: 123.week omitted because of collinearity
{txt}note: 124.week omitted because of collinearity
{txt}note: 125.week omitted because of collinearity
{txt}note: 126.week omitted because of collinearity
{txt}note: 127.week omitted because of collinearity
{txt}note: 128.week omitted because of collinearity
{txt}note: 129.week omitted because of collinearity
{txt}note: 130.week omitted because of collinearity
{txt}note: 131.week omitted because of collinearity
{txt}note: 132.week omitted because of collinearity
{txt}note: 133.week omitted because of collinearity
{txt}note: 134.week omitted because of collinearity
{txt}note: 135.week omitted because of collinearity
{txt}note: 136.week omitted because of collinearity
{txt}note: 137.week omitted because of collinearity
{txt}note: 138.week omitted because of collinearity
{txt}note: 139.week omitted because of collinearity
{txt}note: 140.week omitted because of collinearity
{txt}note: 141.week omitted because of collinearity
{txt}note: 142.week omitted because of collinearity
{txt}note: 143.week omitted because of collinearity
{txt}note: 144.week omitted because of collinearity
{txt}note: 145.week omitted because of collinearity
{txt}note: 146.week omitted because of collinearity
{txt}note: 147.week omitted because of collinearity
{txt}note: 148.week omitted because of collinearity
{txt}note: 149.week omitted because of collinearity
{txt}note: 150.week omitted because of collinearity
{txt}note: 151.week omitted because of collinearity
{txt}note: 152.week omitted because of collinearity
{txt}note: 153.week omitted because of collinearity
{txt}note: 154.week omitted because of collinearity
{txt}note: 155.week omitted because of collinearity
{txt}note: 156.week omitted because of collinearity
{txt}note: 157.week omitted because of collinearity
{txt}note: 158.week omitted because of collinearity
{txt}note: 159.week omitted because of collinearity
{txt}note: 160.week omitted because of collinearity
{txt}note: 161.week omitted because of collinearity
{txt}note: 162.week omitted because of collinearity
{txt}note: 163.week omitted because of collinearity
{txt}note: 164.week omitted because of collinearity
{txt}note: 165.week omitted because of collinearity
{txt}note: 166.week omitted because of collinearity
{txt}note: 167.week omitted because of collinearity
{txt}note: 168.week omitted because of collinearity
{txt}note: 169.week omitted because of collinearity
{txt}note: 170.week omitted because of collinearity
{txt}note: 171.week omitted because of collinearity
{txt}note: 172.week omitted because of collinearity
{txt}note: 173.week omitted because of collinearity
{txt}note: 174.week omitted because of collinearity
{txt}note: 175.week omitted because of collinearity
{txt}note: 176.week omitted because of collinearity
{txt}note: 177.week omitted because of collinearity
{txt}note: 178.week omitted because of collinearity
{txt}note: 179.week omitted because of collinearity
{txt}note: 180.week omitted because of collinearity
{txt}note: 181.week omitted because of collinearity
{txt}note: 182.week omitted because of collinearity
{txt}note: 183.week omitted because of collinearity
{txt}note: 184.week omitted because of collinearity
{txt}note: 185.week omitted because of collinearity
{txt}note: 186.week omitted because of collinearity
{txt}note: 187.week omitted because of collinearity
{txt}note: 188.week omitted because of collinearity
{txt}note: 189.week omitted because of collinearity
{txt}note: 190.week omitted because of collinearity
{txt}note: 191.week omitted because of collinearity
{txt}note: 192.week omitted because of collinearity
{txt}note: 193.week omitted because of collinearity
{txt}note: 194.week omitted because of collinearity
{txt}note: 195.week omitted because of collinearity
{txt}note: 196.week omitted because of collinearity
{txt}note: 197.week omitted because of collinearity
{txt}note: 198.week omitted because of collinearity
{txt}note: 199.week omitted because of collinearity
{txt}note: 200.week omitted because of collinearity
{txt}note: 201.week omitted because of collinearity
{txt}note: 202.week omitted because of collinearity
{txt}note: 203.week omitted because of collinearity
{txt}note: 204.week omitted because of collinearity
{txt}note: 205.week omitted because of collinearity
{txt}note: 206.week omitted because of collinearity
{txt}note: 207.week omitted because of collinearity
{txt}note: 208.week omitted because of collinearity
{txt}note: 209.week omitted because of collinearity
{txt}note: 210.week omitted because of collinearity
{txt}note: 211.week omitted because of collinearity
{txt}note: 212.week omitted because of collinearity
{txt}note: 213.week omitted because of collinearity
{txt}note: 214.week omitted because of collinearity
{txt}note: 215.week omitted because of collinearity
{txt}note: 216.week omitted because of collinearity
{txt}note: 217.week omitted because of collinearity
{txt}note: 218.week omitted because of collinearity
{txt}note: 219.week omitted because of collinearity
{txt}note: 220.week omitted because of collinearity
{txt}note: 221.week omitted because of collinearity
{txt}note: 222.week omitted because of collinearity
{txt}note: 223.week omitted because of collinearity
{txt}note: 224.week omitted because of collinearity
{txt}note: 225.week omitted because of collinearity
{txt}note: 226.week omitted because of collinearity
{txt}note: 227.week omitted because of collinearity
{txt}note: 228.week omitted because of collinearity
{txt}note: 229.week omitted because of collinearity
{txt}note: 230.week omitted because of collinearity
{txt}note: 231.week omitted because of collinearity
{txt}note: 232.week omitted because of collinearity
{txt}note: 233.week omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    40,092
{txt}Absorbing 2 HDFE groups{col 51}F({res}   1{txt},{res}    256{txt}){col 67}= {res}      0.11
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.7376
{txt}{col 51}R-squared{col 67}= {res}    0.5723
{txt}{col 51}Adj R-squared{col 67}= {res}    0.5678
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0001
{txt}{col 1}Number of clusters ({res}home{txt}) {col 30}= {res}       257{txt}{col 51}Root MSE{col 67}= {res}    0.8299

{txt}{ralign 78:(Std. Err. adjusted for {res:257} clusters in home)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    logwater{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}week {c |}
{space 9}79  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}80  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}81  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}82  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}83  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}84  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}85  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}86  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}87  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}88  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}89  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}90  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}91  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}92  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}93  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}94  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}95  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}96  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}97  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}98  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}99  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}100  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}101  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}102  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}103  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}104  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}105  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}106  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}107  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}108  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}109  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}110  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}111  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}112  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}113  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}114  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}115  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}116  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}117  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{space 12} {c |}
{space 7}treat {c |}{col 14}{res}{space 2} -.027533{col 26}{space 2}    .0821{col 37}{space 1}   -0.34{col 46}{space 3}0.738{col 54}{space 4}-.1892105{col 67}{space 3} .1341444
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.090808{col 26}{space 2} .0257694{col 37}{space 1}  158.75{col 46}{space 3}0.000{col 54}{space 4} 4.040061{col 67}{space 3} 4.141555
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}        home{col 14}{c |}{space 1}      257{col 27}{space 1}      257{col 39}{result}{space 1}        0{col 53}{text}*{col 54}{c |}
{res}{col 1}{text}        week{col 14}{c |}{space 1}      156{col 27}{space 1}        0{col 39}{result}{space 1}      156{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
* = FE nested within cluster; treated as redundant for DoF computation
{res}{txt}
{com}. outreg2 using "$outfile3", keep(treat) nocon 2aster dec(3) word ap
{txt}{stata `"shellout using `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf"'"':C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.rtf}
{browse `"C:\Users\che-y\Dropbox\Shared\Research\Residential Water\Data"' :dir}{com} : {txt}{stata `"seeout using "C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Table A2C.txt""':seeout}

{com}. 
{txt}end of do-file

{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\che-y\Dropbox\Shared\Research\Residential Water\\Results\Master Log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 4 May 2024, 16:26:12
{txt}{.-}
{smcl}
{txt}{sf}{ul off}